This page has only limited features, please log in for full access.
The fetal movements during different gestational weeks are essential for normal musculoskeletal development. The kinematic characteristics of fetuses with small differences in gestational weeks may be different and important. Ultrasonographic videos of fetal kicking action and plantarflexion action were collected from three healthy pregnant women (24, 27, and 30 gestational weeks) with normal fetal development. The kinematic characteristics, including angular range and angular velocity, were analyzed. These kinematic parameters were measured using simi motion. The final knee angle was found to decrease with progressive gestational weeks. Compared with 24 w, the knee joint angle at 27 w and 30 w was significantly reduced at the end of a kick-type movement (p< 0.01). Except for the mean angular velocity of the knee joint, there were no significant differences in the other conditions. The value at 30 w for mean angular velocity was significantly higher than that at 24 w (p = 0.02). In the ankle joint, no significant differences were observed between different conditions. Therefore, we can conclude that there was no significant difference in the kinematic characteristics of the ankle joint for small gestational age gaps, but there was a significant difference in the knee joint. As the gestation weeks increase, the range of kicking motion tends to decrease. The reason may be that with the increase of gestational weeks, fetal lower limb musculoskeletal development is gradually enhanced; the slower growth rate indicates that development reaches a peak level in weeks 24 to 30.
Hairong Chen; Yang Song; Rongrong Xuan; Qiuli Hu; Julien S. Baker; Yaodong Gu. Kinematic Comparison on Lower Limb Kicking Action of Fetuses in Different Gestational Weeks: A Pilot Study. Healthcare 2021, 9, 1057 .
AMA StyleHairong Chen, Yang Song, Rongrong Xuan, Qiuli Hu, Julien S. Baker, Yaodong Gu. Kinematic Comparison on Lower Limb Kicking Action of Fetuses in Different Gestational Weeks: A Pilot Study. Healthcare. 2021; 9 (8):1057.
Chicago/Turabian StyleHairong Chen; Yang Song; Rongrong Xuan; Qiuli Hu; Julien S. Baker; Yaodong Gu. 2021. "Kinematic Comparison on Lower Limb Kicking Action of Fetuses in Different Gestational Weeks: A Pilot Study." Healthcare 9, no. 8: 1057.
This study aims to quantify the effects of high-intensity interval training (HIIT) on cardiorespiratory fitness (CRF) by considering potential moderators and to characterise dose–response relationships of HIIT variables that could maximise CRF improvements in overweight and obese adults. Following a comprehensive search through four electronic databases, 19 studies met eligibility criteria. Random-effects models were applied to weight all included studies and to compute the weighted mean standardised mean differences (SMDwm). Meta-analysis showed that HIIT was a highly effective approach for improving CRF in overweight and obese adults (SMDwm = 1.13). Effects were modified by sex and baseline CRF level. Dose–response relationship analysis provided some preliminary data regarding the training period, training intensity, and session duration. However, it is still not possible to provide accurate recommendations currently. Further studies are still needed to identify the most appropriate training variables to prescribe effective HIIT programmes for improving CRF in overweight and obese adults.
Kangle Wang; Yuxin Zhu; Stephen Heung-Sang Wong; Yajun Chen; Parco Ming-Fai Siu; Julien S. Baker; Fenghua Sun. Effects and dose–response relationship of high-intensity interval training on cardiorespiratory fitness in overweight and obese adults: a systematic review and meta-analysis. Journal of Sports Sciences 2021, 1 -18.
AMA StyleKangle Wang, Yuxin Zhu, Stephen Heung-Sang Wong, Yajun Chen, Parco Ming-Fai Siu, Julien S. Baker, Fenghua Sun. Effects and dose–response relationship of high-intensity interval training on cardiorespiratory fitness in overweight and obese adults: a systematic review and meta-analysis. Journal of Sports Sciences. 2021; ():1-18.
Chicago/Turabian StyleKangle Wang; Yuxin Zhu; Stephen Heung-Sang Wong; Yajun Chen; Parco Ming-Fai Siu; Julien S. Baker; Fenghua Sun. 2021. "Effects and dose–response relationship of high-intensity interval training on cardiorespiratory fitness in overweight and obese adults: a systematic review and meta-analysis." Journal of Sports Sciences , no. : 1-18.
Asymmetric multi-protein complexes that undergo subunit exchange play central roles in biology, but present a challenge for protein design. The individual components must contain interfaces enabling reversible addition to and dissociation from the complex, but be stable and well behaved in isolation. Here we employ a set of implicit negative design principles to generate beta sheet mediated heterodimers which enable the generation of a wide variety of structurally well defined asymmetric assemblies. Crystal structures of the heterodimers are very close to the design models, and unlike previously designed orthogonal heterodimer sets, the subunits are stable, folded and monomeric in isolation and rapidly assemble upon mixing. Rigid fusion of individual heterodimer halves to repeat proteins yields central assembly hubs that can bind two or three different proteins across different interfaces. We use these connectors to assemble linearly arranged hetero-oligomers with up to 6 unique components, branched hetero-oligomers, closed C4-symmetric two-component rings, and hetero-oligomers assembled on a cyclic homo-oligomeric central hub, and demonstrate such complexes can readily reconfigure through subunit exchange. Our approach provides a general route to designing asymmetric reconfigurable protein systems.
Danny D. Sahtoe; Florian Praetorius; Alexis Courbet; Yang Hsia; Basile I.M. Wicky; Natasha I. Edman; Lauren M. Miller; Bart J. R. Timmermans; Hana M. Morris; Alex Kang; Asim K. Bera; David Baker. Reconfigurable asymmetric protein assemblies through implicit negative design. 2021, 1 .
AMA StyleDanny D. Sahtoe, Florian Praetorius, Alexis Courbet, Yang Hsia, Basile I.M. Wicky, Natasha I. Edman, Lauren M. Miller, Bart J. R. Timmermans, Hana M. Morris, Alex Kang, Asim K. Bera, David Baker. Reconfigurable asymmetric protein assemblies through implicit negative design. . 2021; ():1.
Chicago/Turabian StyleDanny D. Sahtoe; Florian Praetorius; Alexis Courbet; Yang Hsia; Basile I.M. Wicky; Natasha I. Edman; Lauren M. Miller; Bart J. R. Timmermans; Hana M. Morris; Alex Kang; Asim K. Bera; David Baker. 2021. "Reconfigurable asymmetric protein assemblies through implicit negative design." , no. : 1.
The purpose of this study was to test the ability of serum protein S100B (S100B) and brain lipid-binding protein (BLBP) to identify athletes who sustained a sports-related concussion (SRC). Subjects included a non-athlete group, while the rugby players were separated into two match-control and two SRC groups. The match-control < 1-hr. group included players undergoing venipuncture within 60-minutes post-match and the match-control > 1-hr. < 8-hrs. group included players undergoing venipuncture between one and eight-hours post-match; the SRC < 1-hr. group included players undergoing venipuncture within 60-minutes post-SRC, and the SRC > 1-hr. < 8-hrs. group included players undergoing venipuncture between one and eight-hours post-SRC. Serum S100B concentrations were not significantly different (p = 0.112) among protocols. Serum BLBP was greater in the match-control < 1-hr. group (p < 0.001) and the SRC > 1-hr. < 8-hrs. group (p = 0.003) compared to the non-athlete group. The ability of serum BLBP to distinguish between SRC groups and the non-athlete group were shown to be good to excellent (AUROC > 0.8, p < 0.05) and between match-control groups and the non-athlete group were shown to be excellent (AUROC > 0.9, p < 0.05). Our results show that serum S100B is not useful in distinguishing concussed or post-match athletes from non-athletes. However, serum BLBP was shown distinguish non-athletes from post-match or concussed athletes. Serum BLBP could not distinguish between athletes experiencing an SRC within one-hour of blood draw and those participating in a contact sport.
Matthew James Rogatzki; Ms. Jessica E Morgan; Julien S. Baker; Allan Knox; Jorge M. Serrador. Protein S100B and Brain Lipid-Binding Protein Concentrations in the Serum of Recently Concussed Rugby Players. Journal of Neurotrauma 2021, 38, 2247 -2254.
AMA StyleMatthew James Rogatzki, Ms. Jessica E Morgan, Julien S. Baker, Allan Knox, Jorge M. Serrador. Protein S100B and Brain Lipid-Binding Protein Concentrations in the Serum of Recently Concussed Rugby Players. Journal of Neurotrauma. 2021; 38 (16):2247-2254.
Chicago/Turabian StyleMatthew James Rogatzki; Ms. Jessica E Morgan; Julien S. Baker; Allan Knox; Jorge M. Serrador. 2021. "Protein S100B and Brain Lipid-Binding Protein Concentrations in the Serum of Recently Concussed Rugby Players." Journal of Neurotrauma 38, no. 16: 2247-2254.
The trRosetta structure prediction method employs deep learning to generate predicted residue-residue distance and orientation distributions from which 3D models are built. We sought to improve the method by incorporating as inputs (in addition to sequence information) both language model embeddings and template information weighted by sequence similarity to the target. We also developed a refinement pipeline which recombines models generated by template-free and template utilizing versions of trRosetta guided by the DeepAccNet accuracy predictor. Both benchmark tests and CASP results show that the new pipeline is a considerable improvement over the original trRosetta, and it is faster and requires less computing resources, completing the entire modeling process in a median < 3 hours in CASP14. Our human group improved results with this pipeline primarily by identifying additional homologous sequences for input into the network. We similarly used the DeepAccNet accuracy predictor to guide Rosetta high resolution refinement for submissions in the regular and refinement categories; although performance was quite good on a CASP relative scale, the overall improvements were rather modest in part due to missing inter-domain or inter-chain contacts.
Ivan Anishchenko; MinKyung Baek; Hahnbeom Park; Naozumi Hiranuma; David E. Kim; Justas Dauparas; Sanaa Mansoor; Ian R. Humphreys; David Baker. Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14. Proteins: Structure, Function, and Bioinformatics 2021, 1 .
AMA StyleIvan Anishchenko, MinKyung Baek, Hahnbeom Park, Naozumi Hiranuma, David E. Kim, Justas Dauparas, Sanaa Mansoor, Ian R. Humphreys, David Baker. Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14. Proteins: Structure, Function, and Bioinformatics. 2021; ():1.
Chicago/Turabian StyleIvan Anishchenko; MinKyung Baek; Hahnbeom Park; Naozumi Hiranuma; David E. Kim; Justas Dauparas; Sanaa Mansoor; Ian R. Humphreys; David Baker. 2021. "Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14." Proteins: Structure, Function, and Bioinformatics , no. : 1.
For CASP14, we developed deep learning-based methods for predicting homo-oligomeric and hetero-oligomeric contacts and used them for oligomer modeling. To build structure models, we developed an oligomer structure generation method that utilizes predicted inter-chain contacts to guide iterative restrained minimization from random backbone structures. We supplemented this gradient-based fold-and-dock method with template-based and ab initio docking approaches using deep learning-based subunit predictions on 29 assembly targets. These methods produced oligomer models with summed Z-scores 5.5 units higher than the next best group, with the fold-and-dock method having the best relative performance. Over the eight targets for which this method was used, the best of the five submitted models had average oligomer TM-score of 0.71 (average oligomer TM-score of the next best group: 0.64), and explicit modeling of inter-subunit interactions improved modeling of six out of 40 individual domains (ΔGDT-TS > 2.0).
MinKyung Baek; Ivan Anishchenko; Hahnbeom Park; Ian R. Humphreys; David Baker. Protein oligomer modeling guided by predicted inter‐chain contacts in CASP14. Proteins: Structure, Function, and Bioinformatics 2021, 1 .
AMA StyleMinKyung Baek, Ivan Anishchenko, Hahnbeom Park, Ian R. Humphreys, David Baker. Protein oligomer modeling guided by predicted inter‐chain contacts in CASP14. Proteins: Structure, Function, and Bioinformatics. 2021; ():1.
Chicago/Turabian StyleMinKyung Baek; Ivan Anishchenko; Hahnbeom Park; Ian R. Humphreys; David Baker. 2021. "Protein oligomer modeling guided by predicted inter‐chain contacts in CASP14." Proteins: Structure, Function, and Bioinformatics , no. : 1.
Background: the clustering of metabolic syndrome (MetS) risk factors is becoming more prevalent in children, leading to the development of type 2 diabetes (T2D) and cardiovascular diseases in early adulthood. The impact of MetS risk factors on cardiac autonomic modulation (CAM) or vice versa has been noted to track from childhood to pre-adolescence and adolescence. Understating associations in this age group may help to improve the clinical outcomes of the MetS, even when MetS symptoms are not visible. Potential damage from each individual MetS component and the ability to predict early cardiac damage or upcoming cardiovascular events is very important. Therefore, the present systematic review and meta-analysis investigated the associations between CAM and MetS risk factors individually to verify which of the MetS risk components were significantly correlated with heart rate variability (HRV) indices before or at the onset of the MetS among young people. The purpose of this review was to outline the importance of potentially screening HRV indices in young people even with only one MetS risk factor, as a pre-indicator for early cardiovascular risk stratification. Methods: cross-sectional studies that examined the relationship of MetS risk factors with HRV indices were searched using four databases including PubMed, the Cochrane clinical trials library, Medline and the Web of Science. Correlation coefficients with 95% confidence intervals (95% CI), and random effects meta-analyses of the association between MetS risk factors with HRV indices were performed. Results: out of 14 cross-sectional studies and one case-control study, 8 studies (10 data sets) provided association data for the meta-analysis. Our results indicated significant positive correlations for systolic blood pressure (SBP) (correlation coefficient 0.13 (95%CI: 0.06; 0.19), I2 = 47.26%) and diastolic blood pressure (DBP) (correlation coefficient 0.09 (95%CI: −0.01; 0.18), I2 = 0%) with a Low Frequency/High Frequency ratio (LF/HF). Significant negative correlations for waist circumference (WC) (correlation coefficient −0.12 (95%CI: −0.19; −0.04), I2 = 51.50%), Triglycerides (TGs) (correlation coefficient −0.09 (95%CI: −0.15; −0.02), I2 = 0%) and ≥2 MetS risk factors (correlation coefficient −0.10 (95%CI: −0.16; −0.03), I2 = 0%); with high frequency (HF) were revealed. Significant positive correlations for high density lipoprotein (HDL) (correlation coefficient 0.08 (95%CI: 0.05; 0.11), I2 = 0%) and significant negative correlations of ≥2 MetS risk (correlation coefficient −0.04 (95%CI: −0.12; 0.03), I2 = 0.0%) with low frequency (LF) were revealed. Significant negative correlations for TGs (correlation coefficient −0.09 (95%CI: −0.23; 0.05), I2 = 2.01%) with a mean square root of the sum of differences between mean time between two successive intervals (rMSSD) and significant positive correlation of HDL (correlation coefficient 0.09 (95%CI: −0.01; 0.19), I2 = 0.33%) with standard deviation of the time between two successive intervals (SDNN) were also revealed. An Egger’s test indicated that there was no obvious publication bias for any of the above relationships except for TGs and rMSSD. The significance level stipulated for the meta-analysis was p< 0.05. Conclusions: lipid profiles (HDL and TGs), WC and BP were associated with CAM in young people up to the age of 19 years. The use of HRV indices to predict future MetS risk, and relationships with individual risk factors including HDL, BP, WC and TGs, were established. Future studies related to young people (up to the age of 19 years) are recommended to explore the associations reported here further.
Rashmi Supriya; Fei-Fei Li; Yi-De Yang; Wei Liang; Julien Baker. Association between Metabolic Syndrome Components and Cardiac Autonomic Modulation among Children and Adolescents: A Systematic Review and Meta-Analysis. Biology 2021, 10, 699 .
AMA StyleRashmi Supriya, Fei-Fei Li, Yi-De Yang, Wei Liang, Julien Baker. Association between Metabolic Syndrome Components and Cardiac Autonomic Modulation among Children and Adolescents: A Systematic Review and Meta-Analysis. Biology. 2021; 10 (8):699.
Chicago/Turabian StyleRashmi Supriya; Fei-Fei Li; Yi-De Yang; Wei Liang; Julien Baker. 2021. "Association between Metabolic Syndrome Components and Cardiac Autonomic Modulation among Children and Adolescents: A Systematic Review and Meta-Analysis." Biology 10, no. 8: 699.
Programmed cell death protein-1 (PD-1) expressed on activated T cells inhibits T cell function and proliferation to prevent an excessive immune response, and disease can result if this delicate balance is shifted in either direction. Tumor cells often take advantage of this pathway by overexpressing the PD-1 ligand PD-L1 to evade destruction by the immune system. Alternatively, if there is a decrease in function of the PD-1 pathway, unchecked activation of the immune system and autoimmunity can result. Using a combination of computation and experiment, we designed a hyperstable 40-residue miniprotein, PD-MP1, that specifically binds murine and human PD-1 at the PD-L1 interface with a Kd of ∼100 nM. The apo crystal structure shows that the binder folds as designed with a backbone RMSD of 1.3 Å to the design model. Trimerization of PD-MP1 resulted in a PD-1 agonist that strongly inhibits murine T cell activation. This small, hyperstable PD-1 binding protein was computationally designed with an all-beta interface, and the trimeric agonist could contribute to treatments for autoimmune and inflammatory diseases.
Cassie M. Bryan; Gabriel J. Rocklin; Matthew J. Bick; Alex Ford; Sonia Majri-Morrison; Ashley V. Kroll; Chad J. Miller; Lauren Carter; Inna Goreshnik; Alex Kang; Frank DiMaio; Kristin V. Tarbell; David Baker. Computational design of a synthetic PD-1 agonist. Proceedings of the National Academy of Sciences 2021, 118, 1 .
AMA StyleCassie M. Bryan, Gabriel J. Rocklin, Matthew J. Bick, Alex Ford, Sonia Majri-Morrison, Ashley V. Kroll, Chad J. Miller, Lauren Carter, Inna Goreshnik, Alex Kang, Frank DiMaio, Kristin V. Tarbell, David Baker. Computational design of a synthetic PD-1 agonist. Proceedings of the National Academy of Sciences. 2021; 118 (29):1.
Chicago/Turabian StyleCassie M. Bryan; Gabriel J. Rocklin; Matthew J. Bick; Alex Ford; Sonia Majri-Morrison; Ashley V. Kroll; Chad J. Miller; Lauren Carter; Inna Goreshnik; Alex Kang; Frank DiMaio; Kristin V. Tarbell; David Baker. 2021. "Computational design of a synthetic PD-1 agonist." Proceedings of the National Academy of Sciences 118, no. 29: 1.
DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of Structure Prediction (CASP14) conference. We explored network architectures that incorporate related ideas and obtained the best performance with a three-track network in which information at the one-dimensional (1D) sequence level, the 2D distance map level, and the 3D coordinate level is successively transformed and integrated. The three-track network produces structure predictions with accuracies approaching those of DeepMind in CASP14, enables the rapid solution of challenging x-ray crystallography and cryo–electron microscopy structure modeling problems, and provides insights into the functions of proteins of currently unknown structure. The network also enables rapid generation of accurate protein-protein complex models from sequence information alone, short-circuiting traditional approaches that require modeling of individual subunits followed by docking. We make the method available to the scientific community to speed biological research.
MinKyung Baek; Frank DiMaio; Ivan Anishchenko; Justas Dauparas; Sergey Ovchinnikov; Gyu Rie Lee; Jue Wang; Qian Cong; Lisa N. Kinch; R. Dustin Schaeffer; Claudia Millán; Hahnbeom Park; Carson Adams; Caleb R. Glassman; Andy DeGiovanni; Jose H. Pereira; Andria V. Rodrigues; Alberdina A. van Dijk; Ana C. Ebrecht; Diederik J. Opperman; Theo Sagmeister; Christoph Buhlheller; Tea Pavkov-Keller; Manoj K. Rathinaswamy; Udit Dalwadi; Calvin K. Yip; John E. Burke; K. Christopher Garcia; Nick V. Grishin; Paul D. Adams; Randy J. Read; David Baker. Accurate prediction of protein structures and interactions using a three-track neural network. Science 2021, 373, 871 -876.
AMA StyleMinKyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, Jose H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea Pavkov-Keller, Manoj K. Rathinaswamy, Udit Dalwadi, Calvin K. Yip, John E. Burke, K. Christopher Garcia, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker. Accurate prediction of protein structures and interactions using a three-track neural network. Science. 2021; 373 (6557):871-876.
Chicago/Turabian StyleMinKyung Baek; Frank DiMaio; Ivan Anishchenko; Justas Dauparas; Sergey Ovchinnikov; Gyu Rie Lee; Jue Wang; Qian Cong; Lisa N. Kinch; R. Dustin Schaeffer; Claudia Millán; Hahnbeom Park; Carson Adams; Caleb R. Glassman; Andy DeGiovanni; Jose H. Pereira; Andria V. Rodrigues; Alberdina A. van Dijk; Ana C. Ebrecht; Diederik J. Opperman; Theo Sagmeister; Christoph Buhlheller; Tea Pavkov-Keller; Manoj K. Rathinaswamy; Udit Dalwadi; Calvin K. Yip; John E. Burke; K. Christopher Garcia; Nick V. Grishin; Paul D. Adams; Randy J. Read; David Baker. 2021. "Accurate prediction of protein structures and interactions using a three-track neural network." Science 373, no. 6557: 871-876.
The ability to design stable proteins with custom-made functions is a major goal in biochemistry with practical relevance for our environment and society. Understanding and manipulating protein stability provide crucial information on the molecular determinants that modulate structure and stability, and expand the applications of de novo proteins. Since the (β/⍺)8-barrel or TIM-barrel fold is one of the most common functional scaffolds, in this work we designed a collection of stable de novo TIM barrels (DeNovoTIMs), using a computational fixed-backbone and modular approach based on improved hydrophobic packing of sTIM11, the first validated de novo TIM barrel, and subjected them to a thorough folding analysis. DeNovoTIMs navigate a region of the stability landscape previously uncharted by natural TIM barrels, with variations spanning 60 degrees in melting temperature and 22 kcal per mol in conformational stability throughout the designs. Significant non-additive or epistatic effects were observed when stabilizing mutations from different regions of the barrel were combined. The molecular basis of epistasis in DeNovoTIMs appears to be related to the extension of the hydrophobic cores. This study is an important step towards the fine-tuned modulation of protein stability by design.
Sergio Romero-Romero; Miguel Costas; Daniel-Adriano Silva Manzano; Sina Kordes; Erendira Rojas-Ortega; Cinthya Tapia; Yasel Guerra; Sooruban Shanmugaratnam; Adela Rodríguez-Romero; David Baker; Birte Höcker; D. Alejandro Fernández-Velasco. The Stability Landscape of de novo TIM Barrels Explored by a Modular Design Approach. Journal of Molecular Biology 2021, 433, 167153 .
AMA StyleSergio Romero-Romero, Miguel Costas, Daniel-Adriano Silva Manzano, Sina Kordes, Erendira Rojas-Ortega, Cinthya Tapia, Yasel Guerra, Sooruban Shanmugaratnam, Adela Rodríguez-Romero, David Baker, Birte Höcker, D. Alejandro Fernández-Velasco. The Stability Landscape of de novo TIM Barrels Explored by a Modular Design Approach. Journal of Molecular Biology. 2021; 433 (18):167153.
Chicago/Turabian StyleSergio Romero-Romero; Miguel Costas; Daniel-Adriano Silva Manzano; Sina Kordes; Erendira Rojas-Ortega; Cinthya Tapia; Yasel Guerra; Sooruban Shanmugaratnam; Adela Rodríguez-Romero; David Baker; Birte Höcker; D. Alejandro Fernández-Velasco. 2021. "The Stability Landscape of de novo TIM Barrels Explored by a Modular Design Approach." Journal of Molecular Biology 433, no. 18: 167153.
The ongoing coronavirus 2019 (COVID-19) pandemic has posed a significant threat to both people’s physical and mental health. Physical inactivity, sedentary behavior, and negative emotions among the general population have been significantly increased because of COVID-19 home confinement. These are major risk factors associated with higher incidences of morbidity and mortality. Therefore, effective exercise management should be proposed as a prevention strategy to improve both physical and mental health while diminishing the effects of COVID-19. Tai Chi as a low-to-moderate aerobic exercise combines physical and mental training and plays a positive impact on human health. Here we aim to outline the effects of Tai Chi on the immune system, inflammatory responses, pulmonary function, and emotional control. The benefits of Tai Chi practice for individuals coping with COVID-19 are stated here which include immune system promotion, inflammation response reduction, rehabilitation in respiratory diseases, and emotional improvement. This statement has been supported by available clinical, physiological, and biological research. As a result, we hope to introduce Tai Chi as an effective exercise intervention for people coping with COVID-19 and as a beneficial exercise for maintaining an active lifestyle during a pandemic.
Suodi Xu; Julien Baker; Feng Ren. The Positive Role of Tai Chi in Responding to the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021, 18, 7479 .
AMA StyleSuodi Xu, Julien Baker, Feng Ren. The Positive Role of Tai Chi in Responding to the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2021; 18 (14):7479.
Chicago/Turabian StyleSuodi Xu; Julien Baker; Feng Ren. 2021. "The Positive Role of Tai Chi in Responding to the COVID-19 Pandemic." International Journal of Environmental Research and Public Health 18, no. 14: 7479.
Many bacteria communicate with kin and coordinate group behaviors through a form of cell-cell signaling called acyl-homoserine lactone (AHL) quorum sensing (QS). In these systems, a signal synthase produces an AHL to which its paired receptor selectively responds. Selectivity is fundamental to cell signaling. Despite its importance, it has been challenging to determine how this selectivity is achieved and how AHL QS systems evolve and diversify. We hypothesized that we could use covariation within the protein sequences of AHL synthases and receptors to identify selectivity residues. We began by identifying about 6000 unique synthase-receptor pairs. We then used the protein sequences of these pairs to identify covariation patterns and mapped the patterns onto the LasI/R system from Pseudomonas aeruginosa PAO1. The covarying residues in both proteins cluster around the ligand-binding sites. We demonstrate that these residues are involved in system selectivity toward the cognate signal and go on to engineer the Las system to both produce and respond to an alternate AHL signal. We have thus demonstrated that covariation methods provide a powerful approach for investigating selectivity in protein-small molecule interactions and have deepened our understanding of how communication systems evolve and diversify.
Samantha Wellington Miranda; Qian Cong; Amy L Schaefer; Emily Kenna MacLeod; Angelina Zimenko; David Baker; E Peter Greenberg. A covariation analysis reveals elements of selectivity in quorum sensing systems. eLife 2021, 10, 1 .
AMA StyleSamantha Wellington Miranda, Qian Cong, Amy L Schaefer, Emily Kenna MacLeod, Angelina Zimenko, David Baker, E Peter Greenberg. A covariation analysis reveals elements of selectivity in quorum sensing systems. eLife. 2021; 10 ():1.
Chicago/Turabian StyleSamantha Wellington Miranda; Qian Cong; Amy L Schaefer; Emily Kenna MacLeod; Angelina Zimenko; David Baker; E Peter Greenberg. 2021. "A covariation analysis reveals elements of selectivity in quorum sensing systems." eLife 10, no. : 1.
Karate training, despite the many positive health benefits, carries a risk of injury for participants. The current cross-sectional study aimed to investigate knee injury profiles among Iranian elite karatekas. Participants who attended the national team qualifiers, which included 390 male Kumite karatekas (age 24 ± 3 years old and weight 63 ± 12 kg), participated in this study. Information on knee injuries (injury history, type of injury mechanisms, and effects of knee symptoms on the ability to perform daily activities and recreational activities) were obtained using the Knee Outcome Survey (KOS). Using Pearson’s correlation coefficient, the study examined the relationships between different variables, including KOS subscales and levels of self-reported knee joint function. Our findings indicated that 287 karatekas (73.6%) experienced knee injuries. The anterior cruciate ligament (ACL) rupture (6.9%), articular cartilage (5.4%), and meniscus damage (3.8%) were the main typology of injury. In addition, there were no differences in knee injuries between the non-dominant and dominant legs. Most injuries occurred during the preparatory period (n = 162, 50%), especially during training periods. The KOS subscales scores (Mean ± Sd) for activities of daily living (ADL) and sports activity (SAS) were, respectively, 89 ± 11 and 91 ± 9. The self-reported scores for both the ADL and SAS subscales were, respectively, 89 ± 11 and 90 ± 10. Pearson coefficients of ADL and SAS subscales with their self-reported score were r = 0.761 (p< 0.0001) and r = 0.782 and (p< 0.0001), respectively. The profile of knee injuries in the current investigation is similar to previous surveys that reported lower extremity injury patterns. The findings of this study could be adopted to inform practice aimed at planning interventions for the reduction and prevention of knee injuries among karatekas.
Hamidreza Naserpour; Julien Baker; Amir Letafatkar; Giacomo Rossettini; Frédéric Dutheil. An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study. International Journal of Environmental Research and Public Health 2021, 18, 6888 .
AMA StyleHamidreza Naserpour, Julien Baker, Amir Letafatkar, Giacomo Rossettini, Frédéric Dutheil. An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2021; 18 (13):6888.
Chicago/Turabian StyleHamidreza Naserpour; Julien Baker; Amir Letafatkar; Giacomo Rossettini; Frédéric Dutheil. 2021. "An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study." International Journal of Environmental Research and Public Health 18, no. 13: 6888.
The phyllosilicate mineral muscovite mica is widely used as a surface template for the patterning of macromolecules, yet a molecular understanding of its surface chemistry under varying solution conditions, required to predict and control the self-assembly of adsorbed species, is lacking. We utilize all-atom molecular dynamics simulations in conjunction with an electrostatic analysis based in local molecular field theory that affords a clean separation of long-range and short-range electrostatics. Using water polarization response as a measure of the electric fields that arise from patterned, surface-bound ions that direct the adsorption of charged macromolecules, we apply a Landau theory of forces induced by asymmetrically polarized surfaces to compute protein–surface interactions for two muscovite-binding proteins (DHR10-mica6 and C98RhuA). Comparison of the pressure between surface and protein in high-concentration KCl and NaCl aqueous solutions reveals ion-specific differences in far-field protein–surface interactions, neatly capturing the ability of ions to modulate the surface charge of muscovite that in turn selectively attracts one binding face of each protein over all others.
Jesse L. Prelesnik; Robert G. Alberstein; Shuai Zhang; Harley Pyles; David Baker; Jim Pfaendtner; James J. De Yoreo; F. Akif Tezcan; Richard C. Remsing; Christopher J. Mundy. Ion-dependent protein–surface interactions from intrinsic solvent response. Proceedings of the National Academy of Sciences 2021, 118, 1 .
AMA StyleJesse L. Prelesnik, Robert G. Alberstein, Shuai Zhang, Harley Pyles, David Baker, Jim Pfaendtner, James J. De Yoreo, F. Akif Tezcan, Richard C. Remsing, Christopher J. Mundy. Ion-dependent protein–surface interactions from intrinsic solvent response. Proceedings of the National Academy of Sciences. 2021; 118 (26):1.
Chicago/Turabian StyleJesse L. Prelesnik; Robert G. Alberstein; Shuai Zhang; Harley Pyles; David Baker; Jim Pfaendtner; James J. De Yoreo; F. Akif Tezcan; Richard C. Remsing; Christopher J. Mundy. 2021. "Ion-dependent protein–surface interactions from intrinsic solvent response." Proceedings of the National Academy of Sciences 118, no. 26: 1.
We previously elucidated principles for designing ideal proteins with completely consistent local and non-local interactions which have enabled the design of a wide range of new αβ-proteins with four or fewer β-strands. The principles relate local backbone structures to supersecondary-structure packing arrangements of α-helices and β-strands. Here, we test the generality of the principles by employing them to design larger proteins with five- and six- stranded β-sheets flanked by α-helices. The initial designs were monomeric in solution with high thermal stability, and the nuclear magnetic resonance (NMR) structure of one was close to the design model, but for two others the order of strands in the β-sheet was swapped. Investigation into the origins of this strand swapping suggested that the global structures of the design models were more strained than the NMR structures. We incorporated explicit consideration of global backbone strain into the design methodology, and succeeded in designing proteins with the intended unswapped strand arrangements. These results illustrate the value of experimental structure determination in guiding improvement of de novo design, and the importance of consistency between local, supersecondary, and global tertiary interactions in determining protein topology. The augmented set of principles should inform the design of larger functional proteins.
Nobuyasu Koga; Rie Koga; Gaohua Liu; Javier Castellanos; Gaetano T. Montelione; David Baker. Role of backbone strain in de novo design of complex α/β protein structures. Nature Communications 2021, 12, 1 -12.
AMA StyleNobuyasu Koga, Rie Koga, Gaohua Liu, Javier Castellanos, Gaetano T. Montelione, David Baker. Role of backbone strain in de novo design of complex α/β protein structures. Nature Communications. 2021; 12 (1):1-12.
Chicago/Turabian StyleNobuyasu Koga; Rie Koga; Gaohua Liu; Javier Castellanos; Gaetano T. Montelione; David Baker. 2021. "Role of backbone strain in de novo design of complex α/β protein structures." Nature Communications 12, no. 1: 1-12.
DeepMind presented remarkably accurate protein structure predictions at the CASP14 conference. We explored network architectures incorporating related ideas and obtained the best performance with a 3-track network in which information at the 1D sequence level, the 2D distance map level, and the 3D coordinate level is successively transformed and integrated. The 3-track network produces structure predictions with accuracies approaching those of DeepMind in CASP14, enables rapid solution of challenging X-ray crystallography and cryo-EM structure modeling problems, and provides insights into the functions of proteins of currently unknown structure. The network also enables rapid generation of accurate models of protein-protein complexes from sequence information alone, short circuiting traditional approaches which require modeling of individual subunits followed by docking. We make the method available to the scientific community to speed biological research.
MinKyung Baek; Frank DiMaio; Ivan Anishchenko; Justas Dauparas; Sergey Ovchinnikov; Gyu Rie Lee; Jue Wang; Qian Cong; Lisa N. Kinch; R. Dustin Schaeffer; Claudia Millán; Hahnbeom Park; Carson Adams; Caleb R. Glassman; Andy DeGiovanni; Jose H. Pereira; Andria V. Rodrigues; Alberdina A. van Dijk; Ana C. Ebrecht; Diederik J. Opperman; Theo Sagmeister; Christoph Buhlheller; Tea Pavkov-Keller; Manoj K Rathinaswamy; Udit Dalwadi; Calvin K Yip; John E Burke; K. Christopher Garcia; Nick V. Grishin; Paul D. Adams; Randy J. Read; David Baker. Accurate prediction of protein structures and interactions using a 3-track network. 2021, 1 .
AMA StyleMinKyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, Jose H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea Pavkov-Keller, Manoj K Rathinaswamy, Udit Dalwadi, Calvin K Yip, John E Burke, K. Christopher Garcia, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker. Accurate prediction of protein structures and interactions using a 3-track network. . 2021; ():1.
Chicago/Turabian StyleMinKyung Baek; Frank DiMaio; Ivan Anishchenko; Justas Dauparas; Sergey Ovchinnikov; Gyu Rie Lee; Jue Wang; Qian Cong; Lisa N. Kinch; R. Dustin Schaeffer; Claudia Millán; Hahnbeom Park; Carson Adams; Caleb R. Glassman; Andy DeGiovanni; Jose H. Pereira; Andria V. Rodrigues; Alberdina A. van Dijk; Ana C. Ebrecht; Diederik J. Opperman; Theo Sagmeister; Christoph Buhlheller; Tea Pavkov-Keller; Manoj K Rathinaswamy; Udit Dalwadi; Calvin K Yip; John E Burke; K. Christopher Garcia; Nick V. Grishin; Paul D. Adams; Randy J. Read; David Baker. 2021. "Accurate prediction of protein structures and interactions using a 3-track network." , no. : 1.
The chasse step is one of the most important footwork maneuvers used in table tennis. The purpose of this study was to investigate the lower limb kinematic differences of table tennis athletes of different genders when using the chasse step. The 3D VICON motion analysis system was used to capture related kinematics data. The main finding of this study was that the step times for male athletes (MA) were shorter in the backward phase (BP) and significantly longer in the forward phase (FP) than for female athletes (FA) during the chasse step. Compared with FA, knee external rotation for MA was larger during the BP. MA showed a smaller knee flexion range of motion (ROM) in the BP and larger knee extension ROM in the FP. Moreover, hip flexion and adduction for MA were significantly greater than for FA. In the FP, the internal rotational velocity of the hip joint was significantly greater. MA showed larger hip internal rotation ROM in the FP but smaller hip external rotation ROM in the BP. The differences between genders can help coaches personalize their training programs and improve the performance of both male and female table tennis athletes.
Xiaoyi Yang; Yuqi He; Shirui Shao; Julien Baker; Bíró István; Yaodong Gu. Gender Differences in Kinematic Analysis of the Lower Limbs during the Chasse Step in Table Tennis Athletes. Healthcare 2021, 9, 703 .
AMA StyleXiaoyi Yang, Yuqi He, Shirui Shao, Julien Baker, Bíró István, Yaodong Gu. Gender Differences in Kinematic Analysis of the Lower Limbs during the Chasse Step in Table Tennis Athletes. Healthcare. 2021; 9 (6):703.
Chicago/Turabian StyleXiaoyi Yang; Yuqi He; Shirui Shao; Julien Baker; Bíró István; Yaodong Gu. 2021. "Gender Differences in Kinematic Analysis of the Lower Limbs during the Chasse Step in Table Tennis Athletes." Healthcare 9, no. 6: 703.
Background This paper is a follow-up study continuing the COVISTRESS network previous research regarding health-related determinants. Objective The aim was to identify the main consequences of COVID-19 lockdown on Body Mass Index and Perceived Fragility, related to Physical Activity (PA), for different categories of populations, worldwide. Design The study design included an online survey, during the first wave of COVID-19 lockdown, across different world regions. Setting and participants The research was carried out on 10 121 participants from 67 countries. The recruitment of participants was achieved using snowball sampling techniques via social networks, with no exclusion criteria other than social media access. Main outcome measures Body Mass Index, Physical Activity, Perceived Fragility and risk of getting infected items were analysed. SPSS software, v20, was used. Significance was set at P < .05. Results Body Mass Index significantly increased during lockdown. For youth and young adults (18-35 years), PA decreased by 31.25%, for adults (36-65 years) by 26.05% and for the elderly (over 65 years) by 30.27%. There was a high level of Perceived Fragility and risk of getting infected for female participants and the elderly. Correlations between BMI, Perceived Fragility and PA were identified. Discussion and Conclusions The research results extend and confirm evidence that the elderly are more likely to be at risk, by experiencing weight gain, physical inactivity and enhanced Perceived Fragility. As a consequence, populations need to counteract the constraints imposed by the lockdown by being physically active.
Constanta Urzeala; Martine Duclos; Ukadike Chris Ugbolue; Aura Bota; Mickael Berthon; Keri Kulik; David Thivel; Reza Bagheri; Yaodong Gu; Julien S. Baker; Nicolas Andant; Bruno Pereira; Karine Rouffiac; Maëlys Clinchamps; Frédéric Dutheil; Stéphanie Mestres; Cécile Miele; Valentin Navel; Lénise Parreira; Yves Boirie; Jean‐Baptiste Bouillon‐Minois; Maria Livia Fantini; Jeannot Schmidt; Stéphanie Tubert‐Jeannin; Pierre Chausse; Michael Dambrun; Sylvie Droit‐Volet; Julien Guegan; Serge Guimond; Laurie Mondillon; Armelle Nugier; Pascal Huguet; Samuel Dewavrin; Fouad Marhar; Geraldine Naughton; Amanda Benson; Claus Lamm; Vicky Drapeau; Raimundo Avilés Dorlhiac; Benjamin Bustos; Haifeng Zhang; Peter Dieckmann; Binh Quach; Yanping Duan; Gemma Gao; Wendy Y J Huang; Ka Lai Kelly Lau; Chun‐Qing Zhang; Jiao Jiao; Kuan‐Chou Chen; Hijrah Nasir; Perluigi Cocco; Rosamaria Lecca; Monica Puligheddu; Michela Figorilli; Morteza Charkhabi; Daniela Pfabigan; Samuel Antunes; David Neto; Pedro Almeida; Maria João Gouveia; Pedro Quinteiro; Benoit Dubuis; Juliette Lemaignen; Andy Liu; Foued Saadaoui; The Covistress Network. COVID‐19 lockdown consequences on body mass index and perceived fragility related to physical activity: A worldwide cohort study. Health Expectations 2021, 1 .
AMA StyleConstanta Urzeala, Martine Duclos, Ukadike Chris Ugbolue, Aura Bota, Mickael Berthon, Keri Kulik, David Thivel, Reza Bagheri, Yaodong Gu, Julien S. Baker, Nicolas Andant, Bruno Pereira, Karine Rouffiac, Maëlys Clinchamps, Frédéric Dutheil, Stéphanie Mestres, Cécile Miele, Valentin Navel, Lénise Parreira, Yves Boirie, Jean‐Baptiste Bouillon‐Minois, Maria Livia Fantini, Jeannot Schmidt, Stéphanie Tubert‐Jeannin, Pierre Chausse, Michael Dambrun, Sylvie Droit‐Volet, Julien Guegan, Serge Guimond, Laurie Mondillon, Armelle Nugier, Pascal Huguet, Samuel Dewavrin, Fouad Marhar, Geraldine Naughton, Amanda Benson, Claus Lamm, Vicky Drapeau, Raimundo Avilés Dorlhiac, Benjamin Bustos, Haifeng Zhang, Peter Dieckmann, Binh Quach, Yanping Duan, Gemma Gao, Wendy Y J Huang, Ka Lai Kelly Lau, Chun‐Qing Zhang, Jiao Jiao, Kuan‐Chou Chen, Hijrah Nasir, Perluigi Cocco, Rosamaria Lecca, Monica Puligheddu, Michela Figorilli, Morteza Charkhabi, Daniela Pfabigan, Samuel Antunes, David Neto, Pedro Almeida, Maria João Gouveia, Pedro Quinteiro, Benoit Dubuis, Juliette Lemaignen, Andy Liu, Foued Saadaoui, The Covistress Network. COVID‐19 lockdown consequences on body mass index and perceived fragility related to physical activity: A worldwide cohort study. Health Expectations. 2021; ():1.
Chicago/Turabian StyleConstanta Urzeala; Martine Duclos; Ukadike Chris Ugbolue; Aura Bota; Mickael Berthon; Keri Kulik; David Thivel; Reza Bagheri; Yaodong Gu; Julien S. Baker; Nicolas Andant; Bruno Pereira; Karine Rouffiac; Maëlys Clinchamps; Frédéric Dutheil; Stéphanie Mestres; Cécile Miele; Valentin Navel; Lénise Parreira; Yves Boirie; Jean‐Baptiste Bouillon‐Minois; Maria Livia Fantini; Jeannot Schmidt; Stéphanie Tubert‐Jeannin; Pierre Chausse; Michael Dambrun; Sylvie Droit‐Volet; Julien Guegan; Serge Guimond; Laurie Mondillon; Armelle Nugier; Pascal Huguet; Samuel Dewavrin; Fouad Marhar; Geraldine Naughton; Amanda Benson; Claus Lamm; Vicky Drapeau; Raimundo Avilés Dorlhiac; Benjamin Bustos; Haifeng Zhang; Peter Dieckmann; Binh Quach; Yanping Duan; Gemma Gao; Wendy Y J Huang; Ka Lai Kelly Lau; Chun‐Qing Zhang; Jiao Jiao; Kuan‐Chou Chen; Hijrah Nasir; Perluigi Cocco; Rosamaria Lecca; Monica Puligheddu; Michela Figorilli; Morteza Charkhabi; Daniela Pfabigan; Samuel Antunes; David Neto; Pedro Almeida; Maria João Gouveia; Pedro Quinteiro; Benoit Dubuis; Juliette Lemaignen; Andy Liu; Foued Saadaoui; The Covistress Network. 2021. "COVID‐19 lockdown consequences on body mass index and perceived fragility related to physical activity: A worldwide cohort study." Health Expectations , no. : 1.
Despite recent success in computational design of structured cyclic peptides, de novo design of cyclic peptides that bind to any protein functional site remains difficult. To address this challenge, we develop a computational “anchor extension” methodology for targeting protein interfaces by extending a peptide chain around a non-canonical amino acid residue anchor. To test our approach using a well characterized model system, we design cyclic peptides that inhibit histone deacetylases 2 and 6 (HDAC2 and HDAC6) with enhanced potency compared to the original anchor (IC50 values of 9.1 and 4.4 nM for the best binders compared to 5.4 and 0.6 µM for the anchor, respectively). The HDAC6 inhibitor is among the most potent reported so far. These results highlight the potential for de novo design of high-affinity protein-peptide interfaces, as well as the challenges that remain.
Parisa Hosseinzadeh; Paris R. Watson; Timothy W. Craven; Xinting Li; Stephen Rettie; Fátima Pardo-Avila; Asim K. Bera; Vikram Khipple Mulligan; Peilong Lu; Alexander S. Ford; Brian D. Weitzner; Lance J. Stewart; Adam P. Moyer; Maddalena Di Piazza; Joshua G. Whalen; Per Jr. Greisen; David W. Christianson; David Baker. Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites. Nature Communications 2021, 12, 1 -12.
AMA StyleParisa Hosseinzadeh, Paris R. Watson, Timothy W. Craven, Xinting Li, Stephen Rettie, Fátima Pardo-Avila, Asim K. Bera, Vikram Khipple Mulligan, Peilong Lu, Alexander S. Ford, Brian D. Weitzner, Lance J. Stewart, Adam P. Moyer, Maddalena Di Piazza, Joshua G. Whalen, Per Jr. Greisen, David W. Christianson, David Baker. Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites. Nature Communications. 2021; 12 (1):1-12.
Chicago/Turabian StyleParisa Hosseinzadeh; Paris R. Watson; Timothy W. Craven; Xinting Li; Stephen Rettie; Fátima Pardo-Avila; Asim K. Bera; Vikram Khipple Mulligan; Peilong Lu; Alexander S. Ford; Brian D. Weitzner; Lance J. Stewart; Adam P. Moyer; Maddalena Di Piazza; Joshua G. Whalen; Per Jr. Greisen; David W. Christianson; David Baker. 2021. "Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites." Nature Communications 12, no. 1: 1-12.
The present study aims to assess the position of the racket, and racket height with respect to the floor, during the table tennis top spin stroke. A stereophotogrammetric system (Smart-D, BTS, 8 cameras, 550 Hz) was used to track the table tennis racket during cross-court (CC) and long-line (LL) shots. Ten national level players completed ten CC and ten LL top spin strokes responding to a robot machine. The racket motion throughout the shot showed specific technical characteristics: the minimum height of the racket was detected during the backswing phase; racket height at the end of backswing phase (maximal distance racket/table) was higher than the minimum; height at the racket maximum velocity (ball/racket impact) was greater than the net’s height. Furthermore, the maximum height of the racket occurred at the end of the forward swing. No differences in these kinematic variables between CC and LL were found. Conversely, a higher inclination of the racket at the moment of maximum speed was detected in LL vs. CC. From a practical perspective, the present findings suggest that table tennis players need to introduce specific exercises in order to increase the height of the racket during the forehand top spin stroke, to improve its effectiveness.
Ivan Malagoli Lanzoni; Sandro Bartolomei; Rocco Di Michele; Yaodong Gu; Julien Baker; Silvia Fantozzi; Matteo Cortesi. Kinematic Analysis of the Racket Position during the Table Tennis Top Spin Forehand Stroke. Applied Sciences 2021, 11, 5178 .
AMA StyleIvan Malagoli Lanzoni, Sandro Bartolomei, Rocco Di Michele, Yaodong Gu, Julien Baker, Silvia Fantozzi, Matteo Cortesi. Kinematic Analysis of the Racket Position during the Table Tennis Top Spin Forehand Stroke. Applied Sciences. 2021; 11 (11):5178.
Chicago/Turabian StyleIvan Malagoli Lanzoni; Sandro Bartolomei; Rocco Di Michele; Yaodong Gu; Julien Baker; Silvia Fantozzi; Matteo Cortesi. 2021. "Kinematic Analysis of the Racket Position during the Table Tennis Top Spin Forehand Stroke." Applied Sciences 11, no. 11: 5178.