Abstract

The goals of this research are the development of more accurate methods for molecular simulations of solvated proteins, the construction of multiscale kinetic network models which fully exploit this information, and the application of these new computational tools to forefront problems in structural biology and molecular biophysics. These problems include: (a) protein-ligand binding, both thermodynamics and kinetics;and (b) characterizing the landscapes for protein folding and functional transitions in the native state, with emphasis on mapping the diversity of pathways for folding and binding and their corresponding fluxes. These projects will build on the substantial progress made during the current grant period on the development of state-of-the-art methods for molecular simulations of proteins, and forefront applications which are best suited to investigation using all atom and multiscale kinetic network models.

Public Health Relevance

The goals of this research include the development of accurate methods for structure based drug design using innovative molecular simulations. The target systems for drug design include two human immune-deficiency virus (HIV) proteins - Reverse Transcriptase (RT) and Protease.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM030580-31
Application #
8325036
Study Section
Macromolecular Structure and Function D Study Section (MSFD)
Program Officer
Preusch, Peter C
Project Start
1982-06-01
Project End
2015-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
31
Fiscal Year
2012
Total Cost
$308,928
Indirect Cost
$108,928

  Institution

Name
Rutgers University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
001912864
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901

  Publications

Deng, Nanjie; Cui, Di; Zhang, Bin W et al. (2018) Comparing alchemical and physical pathway methods for computing the absolute binding free energy of charged ligands. Phys Chem Chem Phys 20:17081-17092
Haldane, Allan; Flynn, William F; He, Peng et al. (2018) Coevolutionary Landscape of Kinase Family Proteins: Sequence Probabilities and Functional Motifs. Biophys J 114:21-31
He, Peng; Zhang, Bin W; Arasteh, Shima et al. (2018) Conformational Free Energy Changes via an Alchemical Path without Reaction Coordinates. J Phys Chem Lett 9:4428-4435
Xia, Junchao; Flynn, William; Levy, Ronald M (2018) Improving Prediction Accuracy of Binding Free Energies and Poses of HIV Integrase Complexes Using the Binding Energy Distribution Analysis Method with Flattening Potentials. J Chem Inf Model 58:1356-1371
Cui, Di; Zhang, Bin W; Matubayasi, Nobuyuki et al. (2018) The Role of Interfacial Water in Protein-Ligand Binding: Insights from the Indirect Solvent Mediated Potential of Mean Force. J Chem Theory Comput 14:512-526
Zhang, Bin W; Cui, Di; Matubayasi, Nobuyuki et al. (2018) The Excess Chemical Potential of Water at the Interface with a Protein from End Point Simulations. J Phys Chem B 122:4700-4707
Harris, Robert C; Deng, Nanjie; Levy, Ronald M et al. (2017) Computing conformational free energy differences in explicit solvent: An efficient thermodynamic cycle using an auxiliary potential and a free energy functional constructed from the end points. J Comput Chem 38:1198-1208
Pal, Rajat Kumar; Haider, Kamran; Kaur, Divya et al. (2017) A combined treatment of hydration and dynamical effects for the modeling of host-guest binding thermodynamics: the SAMPL5 blinded challenge. J Comput Aided Mol Des 31:29-44
Levy, Ronald M; Cui, Di; Zhang, Bin W et al. (2017) Relationship between Solvation Thermodynamics from IST and DFT Perspectives. J Phys Chem B 121:3825-3841
Flynn, William F; Haldane, Allan; Torbett, Bruce E et al. (2017) Inference of Epistatic Effects Leading to Entrenchment and Drug Resistance in HIV-1 Protease. Mol Biol Evol 34:1291-1306

Showing the most recent 10 out of 105 publications