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Research Interests
Most chemical reactions are carried out in solution. The solvent surroundings affect such reactions in a variety of important ways. For example, the rates of reactions between ionized molecules are often limited by the rate at which the reactants diffuse through the solvent and come into contact. Also, specific solvation effects often determine the relative free energies or stabilities of reactant, transition state, and product molecules. In our group, we study such phenomena using methods from statistical mechanics. These methods range from simulation studies, in which the equations of motion of the atoms in a model system are solved on a computer, to formal studies in which we develop and solve differential or other equations.
We also use computer models and formal techniques to examine how protein molecules function. The proteins of interest include enzymes and ligand binding proteins such as antibody molecules. The theoretical studies show, for example, how a substrate may be attracted to the active site of an enzyme by electrostatic interactions, and how the atoms within an enzyme move to participate in the catalytic transformation of a bound substrate. These methods are of practical importance in the design of new enzymes that can be synthesized by genetic engineering techniques, and in the design of new drugs that bind strongly to their receptors.
Our simulation studies benefit from the excellent computing facilities to which we have access. These facilities include parallel supercomputers and sophisticated computer graphics systems that allow for the visualization of the atomic dynamics in solutions or protein molecules by virtual reality methods.
Most chemical reactions are carried out in solution. The solvent surroundings affect such reactions in a variety of important ways. For example, the rates of reactions between ionized molecules are often limited by the rate at which the reactants diffuse through the solvent and come into contact. Also, specific solvation effects often determine the relative free energies or stabilities of reactant, transition state, and product molecules. In our group, we study such phenomena using methods from statistical mechanics. These methods range from simulation studies, in which the equations of motion of the atoms in a model system are solved on a computer, to formal studies in which we develop and solve differential or other equations.
We also use computer models and formal techniques to examine how protein molecules function. The proteins of interest include enzymes and ligand binding proteins such as antibody molecules. The theoretical studies show, for example, how a substrate may be attracted to the active site of an enzyme by electrostatic interactions, and how the atoms within an enzyme move to participate in the catalytic transformation of a bound substrate. These methods are of practical importance in the design of new enzymes that can be synthesized by genetic engineering techniques, and in the design of new drugs that bind strongly to their receptors.
Our simulation studies benefit from the excellent computing facilities to which we have access. These facilities include parallel supercomputers and sophisticated computer graphics systems that allow for the visualization of the atomic dynamics in solutions or protein molecules by virtual reality methods.
研究兴趣
论文共 1241 篇作者统计合作学者相似作者
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J Chem Inf Modelno. 13 (2024): 5232-5241
Andrew M Stokely,Lane W Votapka,Marcus T Hock,Abigail E Teitgen,J Andrew McCammon, Andrew D McCulloch,Rommie E Amaro
Journal of Chemical Information and Modeling (2024)
Proceedings of the National Academy of Sciences of the United States of Americano. 35 (2024): e2322077121-e2322077121
Bryn N. K. Lopez,Paulo H. O. Ceciliato,Yohei Takahashi, Felipe J. Rangel, Evana A. Salem,Klara Kernig, Kelly Chow,Li Zhang, Morgana A. Sidhom,Christian G. Seitz, Tingwen Zheng,Richard Sibout,Debbie L. Laudencia-Chingcuanco,Daniel P. Woods,James Andrew McCammon,John P. Vogel,Julian Schroeder
Plant physiology (2024)
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAno. 9 (2023)
bioRxiv the preprint server for biology (2023)
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作者统计
#Papers: 1241
#Citation: 88787
H-Index: 128
G-Index: 266
Sociability: 7
Diversity: 3
Activity: 119
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