Patrice Koehl

Affiliations: 
Applied Mathematics University of California, Davis, Davis, CA 
Area:
Applied Mathematics, General Biophysics, Biochemistry
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"Patrice Koehl"

Children

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Patricia A. Francis-Lyon grad student 2011 UC Davis
Paul F. Mach grad student 2012 UC Davis
David D. Gae grad student 2013 UC Davis

Collaborators

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Marc Delarue collaborator UC Davis Genome Center (Chemistry Tree)
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Publications

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Hsieh YC, Delarue M, Orland H, et al. (2023) Analyzing the Geometry and Dynamics of Viral Structures: A Review of Computational Approaches Based on Alpha Shape Theory, Normal Mode Analysis, and Poisson-Boltzmann Theories. Viruses. 15
Koehl P, Orland H, Delarue M. (2021) Parameterizing elastic network models to capture the dynamics of proteins. Journal of Computational Chemistry
Koehl P, Delarue M, Orland H. (2021) Simultaneous Identification of Multiple Binding Sites in Proteins: A Statistical Mechanics Approach. The Journal of Physical Chemistry. B
Koehl P, Delarue M, Orland H. (2021) Physics approach to the variable-mass optimal-transport problem. Physical Review. E. 103: 012113
Koehl P, Delarue M, Orland H. (2019) Optimal transport at finite temperature. Physical Review. E. 100: 013310
Koehl P, Delarue M, Orland H. (2019) Statistical Physics Approach to the Optimal Transport Problem. Physical Review Letters. 123: 040603
Koehl P, Orland H, Delarue M. (2018) Numerical Encodings of Amino Acids in Multivariate Gaussian Modeling of Protein Multiple Sequence Alignments. Molecules (Basel, Switzerland). 24
Hu H, Ataka K, Menny A, et al. (2018) Electrostatics, proton sensor, and networks governing the gating transition in GLIC, a proton-gated pentameric ion channel. Proceedings of the National Academy of Sciences of the United States of America
Koehl P, Delarue M. (2018) Coarse-grained dynamics of supramolecules: Conformational changes in outer shells of Dengue viruses. Progress in Biophysics and Molecular Biology
Delarue M, Koehl P. (2018) Combined approaches from physics, statistics, and computer science for protein structure prediction: (unity is strength)? F1000research. 7
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