Success stories of citizen science projects widely demonstrate the value of this open science paradigm and encourage organizations to shift towards new ways of doing research. While benefits for researchers are clear, outcomes for individuals participating in these projects are not easy to assess. The wide spectrum of volunteers collaborating in citizen science projects greatly contributes to the difficulty in the evaluation of the projects' outcomes. Given the strong links between many citizen science projects and education, in this work we present an experience with hundreds of students (aged 15–18) of two different countries who participate in a project on cell biology research — Cell Spotting — as part of their regular classroom activities. Apart from introducing the project and resources involved, we aim to provide an overview of the benefits of integrating citizen science in the context of formal science education and of what teachers and students may obtain from it. In this case, besides helping students to consolidate and apply theoretical concepts included in the school curriculum, some other types of informal learning have also been observed such as the feeling of playing a key role, which contributed to an increase of students' motivation.

Protein aggregation into insoluble fibrillar structures known as amyloid characterizes several neurodegenerative diseases, including Alzheimer's, Huntington's and Creutzfeldt‐Jakob. Transthyretin (TTR), a homotetrameric plasma protein, is known to be the causative agent of amyloid pathologies such as FAP (familial amyloid polyneuropathy), FAC (familial amyloid cardiomiopathy) and SSA (senile systemic amyloidosis). It is generally accepted that TTR tetramer dissociation and monomer partial unfolding precedes amyloid fibril formation. To explore the TTR unfolding landscape and to identify potential intermediate conformations with high tendency for amyloid formation, we have performed molecular dynamics unfolding simulations of WT‐TTR and L55P‐TTR, a highly amyloidogenic TTR variant. Our simulations in explicit water allow the identification of events that clearly discriminate the unfolding behavior of WT and L55P‐TTR. Analysis of the simulation trajectories show that (i) the L55P monomers unfold earlier and to a larger extent than the WT; (ii) the single α‐helix in the TTR monomer completely unfolds in most of the L55P simulations while remain folded in WT simulations; (iii) L55P forms, early in the simulations, aggregation‐prone conformations characterized by full displacement of strands C and D from the main β‐sandwich core of the monomer; (iv) L55P shows, late in the simulations, severe loss of the H‐bond network and consequent destabilization of the CBEF β‐sheet of the β‐sandwich; (v) WT forms aggregation‐compatible conformations only late in the simulations and upon extensive unfolding of the monomer. These results clearly show that, in comparison with WT, L55P‐TTR does present a much higher probability of forming transient conformations compatible with aggregation and amyloid formation.

Chronic obstructive pulmonary disease (COPD) can lead to increased dependence on the informal caregiver and, consequently, to distress associated with caregiving burden. In the general population, higher levels of physical activity (PA) are related to lower distress levels; however, this relationship has been scarcely studied in COPD. This study aimed to explore the relationship between distress and PA in informal caregivers of patients with COPD, and the influence of caregivers’ (age, sex) and patients’ (age, sex, lung function) characteristics and caregiving duration on this relationship. A cross-sectional study was conducted with 50 caregivers (62.7 ± 9.8 years, 88% female; 78% caring for a spouse/partner; 38% caring >40 h/week; patients’ FEV₁=45.2 ± 21.3% predicted). Data collection comprised questions related to the caregiving context, distress related to caregiving burden assessed with the Informal Caregiver Burden Assessment Questionnaire (QASCI; total score, 7 subscales), and self-reported PA with the Habitual Physical Activity Questionnaire (HPAQ). Spearman’s correlation coefficient and linear regressions were used. Significant, negative and moderate correlations were found between the QASCI (28.5 ± 19.8) and the HPAQ (5.2 ± 1.3) (ρ=-0.46; p = 0.01); and between the HPAQ and some QASCI subscales (emotional burden ρ=-0.47; implications for personal life ρ=-0.52; financial burden ρ=-0.44; perception of efficacy and control mechanisms ρ=-0.42; p < 0.01). Two linear regression models were tested to predict QASCI total score including as predictors: 1) HPAQ alone (p = 0.001; r²=0.23); 2) HPAQ and caregiving h/week (p < 0.001; r²=0.34). Higher self-reported PA levels are related to decreased levels of distress associated with caregiver burden in COPD caregivers. Duration of caregiving may negatively influence this relationship.

We present a systematic test of the performance of three popular united‐atom force fields—OPLS‐UA, GROMOS and TraPPE—at predicting hydrophobic solvation, more precisely at describing the solvation of alkanes in alkanes. Gibbs free energies of solvation were calculated for 52 solute/solvent pairs from Molecular Dynamics simulations and thermodynamic integration making use of the IBERCIVIS volunteer computing platform. Our results show that all force fields yield good predictions when both solute and solvent are small linear or branched alkanes (up to pentane). However, as the size of the alkanes increases, all models tend to increasingly deviate from experimental data in a systematic fashion. Furthermore, our results confirm that specific interaction parameters for cyclic alkanes in the united‐atom representation are required to account for the additional excluded volume within the ring. Overall, the TraPPE model performs best for all alkanes, but systematically underpredicts the magnitude of solvation free energies by about 6% (RMSD of 1.2 kJ/mol). Conversely, both GROMOS and OPLS‐UA systematically overpredict solvation free energies (by ∼13% and 15%, respectively). The systematic trends suggest that all models can be improved by a slight adjustment of their Lennard‐Jones parameters.