Paul Fenimore

Paul Fenimore


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 March 2009 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
HFHans Frauenfelder
Hans Frauenfelder
GCGuo Chen
Guo Chen
JBJoel Berendzen
Joel Berendzen
PFPaul Fenimore
Paul Fenimore
HJHelén Jansson
Helén Jansson
RYRobert D. Young
Robert D. Young
Protein functions require conformational motions. We show here that the dominant conformational motions are slaved by the hydration shell and the bulk solvent. The protein contributes the structure necessary for function. We formulate a model that is based on experiments, insights from the physics of glass-forming liquids, and the concepts of a hierarchically organized energy landscape. To explore the effect of external fluctuations on protein dynamics, we measure the fluctuations in the bulk solvent and the hydration shell with broadband dielectric spectroscopy and compare them with internal fluctuations measured with the Mössbauer effect and neutron scattering. The result is clear. Large-scale protein motions are slaved to the fluctuations in the bulk solvent. They are controlled by the solvent viscosity, and are absent in a solid environment. Internal protein motions are slaved to the beta fluctuations of the hydration shell, are controlled by hydration, and are absent in a dehydrated protein. The model quantitatively predicts the rapid increase of the mean-square displacement above ≈200 K, shows that the external beta fluctuations determine the temperature- and time-dependence of the passage of carbon monoxide through myoglobin, and explains the nonexponential time dependence of the protein relaxation after photodissociation.

1 December 2018 in Acta Crystallographica Section D Structural Biology
Verified
Journal Article
Closed access
PDF file
RARana Ashkar
Rana Ashkar
HBHassina Bilheux
Hassina Bilheux
Heloisa BordalloHeloisa Bordallo
Heloisa Bordallo
RBRobert M. Briber
Robert M. Briber
DCDavid J. E. Callaway
David J. E. Callaway
JSJeremy Smith
Jeremy Smith

26 September 2014 in Viruses
Verified
Journal Article
Open access
PDF file
Jens H. KuhnJens H. Kuhn
Jens H. Kuhn
KAKristian G. Andersen
Kristian G. Andersen
YBYīmíng Bào
Yīmíng Bào
SBSina Bavari
Sina Bavari
SBStephan Becker
Stephan Becker
SNStuart T. Nichol
Stuart T. Nichol
Sequence determination of complete or coding-complete genomes of viruses is becoming common practice for supporting the work of epidemiologists, ecologists, virologists, and taxonomists. Sequencing duration and costs are rapidly decreasing, sequencing hardware is under modification for use by non-experts, and software is constantly being improved to simplify sequence data management and analysis. Thus, analysis of virus disease outbreaks on the molecular level is now feasible, including characterization of the evolution of individual virus populations in single patients over time. The increasing accumulation of sequencing data creates a management problem for the curators of commonly used sequence databases and an entry retrieval problem for end users. Therefore, utilizing the data to their fullest potential will require setting nomenclature and annotation standards for virus isolates and associated genomic sequences. The National Center for Biotechnology Information’s (NCBI’s) RefSeq is a non-redundant, curated database for reference (or type) nucleotide sequence records that supplies source data to numerous other databases. Building on recently proposed templates for filovirus variant naming [ ()////-], we report consensus decisions from a majority of past and currently active filovirus experts on the eight filovirus type variants and isolates to be represented in RefSeq, their final designations, and their associated sequences.

12 September 2013 in The Journal of Physical Chemistry B
Verified
Journal Article
Closed access
HFHans Frauenfelder
Hans Frauenfelder
RYRobert D. Young
Robert D. Young
PFPaul Fenimore
Paul Fenimore

3 October 2012 in PLOS ONE
Verified
Journal Article
Open access
PDF file
PFPaul Fenimore
Paul Fenimore
MMMajidat A. Muhammad
Majidat A. Muhammad
WFWilliam M. Fischer
William M. Fischer
Brian T. FoleyBrian T. Foley
Brian T. Foley
RBRussell R. Bakken
Russell R. Bakken
CKCarla Kuiken
Carla Kuiken
We report the rational design and in vivo testing of mosaic proteins for a polyvalent pan-filoviral vaccine using a computational strategy designed for the Human Immunodeficiency Virus type 1 (HIV-1) but also appropriate for Hepatitis C virus (HCV) and potentially other diverse viruses. Mosaics are sets of artificial recombinant proteins that are based on natural proteins. The recombinants are computationally selected using a genetic algorithm to optimize the coverage of potential cytotoxic T lymphocyte (CTL) epitopes. Because evolutionary history differs markedly between HIV-1 and filoviruses, we devised an adapted computational technique that is effective for sparsely sampled taxa; our first significant result is that the mosaic technique is effective in creating high-quality mosaic filovirus proteins. The resulting coverage of potential epitopes across filovirus species is superior to coverage by any natural variants, including current vaccine strains with demonstrated cross-reactivity. The mosaic cocktails are also robust: mosaics substantially outperformed natural strains when computationally tested against poorly sampled species and more variable genes. Furthermore, in a computational comparison of cross-reactive potential a design constructed prior to the Bundibugyo outbreak performed nearly as well against all species as an updated design that included Bundibugyo. These points suggest that the mosaic designs would be more resilient than natural-variant vaccines against future Ebola outbreaks dominated by novel viral variants. We demonstrate in vivo immunogenicity and protection against a heterologous challenge in a mouse model. This design work delineates the likely requirements and limitations on broadly-protective filoviral CTL vaccines.

16 May 2017 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
HFHans Frauenfelder
Hans Frauenfelder
RYRobert D. Young
Robert D. Young
PFPaul Fenimore
Paul Fenimore
We recently introduced a model of incoherent quasielastic neutron scattering (QENS) that treats the neutrons as wave packets of finite length and the protein as a random walker in the free energy landscape. We call the model ELM for “energy landscape model.” In ELM, the interaction of the wave packet with a proton in a protein provides the dynamic information. During the scattering event, the momentum Q(t) is transferred by the wave packet to the struck proton and its moiety, exerting the force F(t)=dQ(t)/dt. The resultant energy E⋆ is stored elastically and returned to the neutron as it exits. The energy is given by E⋆=kB(T0+χQ), where T0 is the ambient temperature and χ (≈ 91 K Å) is a new elastobaric coefficient. Experiments yield the scattering intensity (dynamic structure factor) S(Q;T) as a function of Q and T. To test our model, we use published data on proteins where only thermal vibrations are active. ELM competes with the currently accepted theory, here called the spatial motion model (SMM), which explains S(Q,T) by motions in real space. ELM is superior to SMM: It can explain the experimental angular and temperature dependence, whereas SMM cannot do so. Significance Quasielastic neutron scattering (QENS) has been used for > 40 y to study complex systems. Fascinating questions remain. The neutron has to be a de Broglie wave packet to obtain dynamics information on biological systems. During its interaction with a proton in a protein, the wave packet puts pressure on the proton and its environment. The protein acts like an ideal spring and by Hooke’s law transiently stores the energy produced by the pressure. On leaving, the wave packet regains essentially the full energy. However, during the passage, fluctuations in the sample change the neutron energy slightly and broaden the energy spectrum. The results call for a reexamination of the theory of quasielastic neutron scattering from complex systems.