D
David L. Mobley
Researcher at University of California, Irvine
Publications - 199
Citations - 12960
David L. Mobley is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Solvation & Medicine. The author has an hindex of 51, co-authored 177 publications receiving 10569 citations. Previous affiliations of David L. Mobley include University of California & NewYork–Presbyterian Hospital.
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Journal ArticleDOI
Reproducibility of Free Energy Calculations across Different Molecular Simulation Software Packages
Hannes H. Loeffler,Stefano Bosisio,Guilherme Duarte Ramos Matos,Donghyuk Suh,Benoît Roux,David L. Mobley,Julien Michel +6 more
TL;DR: In this paper, the reproducibility of relative alchemical free energy (RAFE) simulations has been evaluated for a set of small organic molecules and demonstrated that free energies can be reproduced to within about 0.2 kcal/mol with the aforementioned codes.
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Sensitivity in Binding Free Energies Due to Protein Reorganization
TL;DR: This study model recent experimental results that show the progressive opening of the binding pocket in response to a series of homologous ligands and demonstrates how inclusion of three key protein residues in the "hot" region of the FEP/REST simulation improves the sampling and resolves this sensitivity, given enough simulation time.
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A Fixed-Charge Model for Alcohol Polarization in the Condensed Phase, and Its Role in Small Molecule Hydration
TL;DR: In this paper, a simple optimization strategy for incorporating experimental dielectric response information on neat liquids in classical molecular models of alcohol is presented, and simple and transferable hydroxyl modulation rules are determined that, when applied to an existing molecular parameter set, result in a newly dielectoric corrected (DC) parameter set.
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Blind prediction of charged ligand binding affinities in a model binding site.
Gabriel J. Rocklin,S.E. Boyce,Marcus Fischer,Inbar Fish,Inbar Fish,David L. Mobley,David L. Mobley,Brian K. Shoichet,Ken A. Dill +8 more
TL;DR: A blind test to examine whether alchemical free-energy calculations could predict binding affinities of 14 charged and 5 neutral compounds previously untested as ligands for a cavity binding site in cytochrome c peroxidase and gives insights into the existing sources of error, which are primarily electrostatic interactions inside proteins.
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Modeling Amyloid β-Peptide Insertion into Lipid Bilayers
TL;DR: The hypothesis that partial insertion of the regular Abeta peptide into cell membranes increases the probability of harmful channel formation is developed and can partly explain why these mutations are neurotoxic simply due to peptide insertion behavior.