The research program centers on the development and application of quantitative methods for exploring the structure, energetics and reactivity of biomolecular systems. Such work is needed for the deeper understanding of biochemical structure and function and for the improvement of predictive skills of importance in many areas including the rational design of therapeutic drugs. The present theoretical approach centers on computer simulations of the biomolecular systems at the atomic level with explicit inclusion of the solvent. The principal techniques that are used are Monte Carlo statistical mechanics and molecular dynamics with emphasis on computing changes in free energy for transformations in solution. The specific focus of the proposal is the energetics and dynamics of peptides and proteins. Efforts will be directed at (1) expansion of the capabilities of the BOSS Monte Carlo program for facile treatment of polypeptides and compounds with flexible rings, (2) quantitative investigations of factors that influence the stability of proteins and structured peptides including the effects of charge - helix dipole interactions and salt bridge formation, (3) quantitative investigation of the intrinsic helix forming propensity of individual residues including the development of a theoretical helicity scale, (4) quantitative investigation of the competition between formation of alpha and 310 helices as a function of sequence and helix length, (5) molecular dynamics studies of the unfolding of helical peptides and disulfideless proteins as a route to insights on protein unfolding and folding, and (6) studies of the immunosuppressive agents, FK506 and rapamycin, and the FK506 binding protein, FKBP, including conformational analyses and assessment of the effects of structural modifications on complexation.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM032136-09
Application #
3280761
Study Section
Molecular and Cellular Biophysics Study Section (BBCA)
Project Start
1990-07-01
Project End
1995-06-30
Budget Start
1991-07-01
Budget End
1992-06-30
Support Year
9
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Yale University
Department
Type
Schools of Arts and Sciences
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Trivedi-Parmar, Vinay; Robertson, Michael J; Cisneros, José A et al. (2018) Optimization of Pyrazoles as Phenol Surrogates to Yield Potent Inhibitors of Macrophage Migration Inhibitory Factor. ChemMedChem 13:1092-1097
Cabeza de Vaca, Israel; Qian, Yue; Vilseck, Jonah Z et al. (2018) Enhanced Monte Carlo Methods for Modeling Proteins Including Computation of Absolute Free Energies of Binding. J Chem Theory Comput 14:3279-3288
Dodda, Leela S; Tirado-Rives, Julian; Jorgensen, William L (2018) Unbinding Dynamics of Non-Nucleoside Inhibitors from HIV-1 Reverse Transcriptase. J Phys Chem B :
Trivedi-Parmar, Vinay; Jorgensen, William L (2018) Advances and Insights for Small Molecule Inhibition of Macrophage Migration Inhibitory Factor. J Med Chem 61:8104-8119
Dawson, Thomas K; Dziedzic, Pawel; Robertson, Michael J et al. (2017) Adding a Hydrogen Bond May Not Help: Naphthyridinone vs Quinoline Inhibitors of Macrophage Migration Inhibitory Factor. ACS Med Chem Lett 8:1287-1291
Chan, Albert H; Lee, Won-Gil; Spasov, Krasimir A et al. (2017) Covalent inhibitors for eradication of drug-resistant HIV-1 reverse transcriptase: From design to protein crystallography. Proc Natl Acad Sci U S A 114:9725-9730
Dodda, Leela S; Vilseck, Jonah Z; Tirado-Rives, Julian et al. (2017) 1.14*CM1A-LBCC: Localized Bond-Charge Corrected CM1A Charges for Condensed-Phase Simulations. J Phys Chem B 121:3864-3870
Robertson, Michael J; Tirado-Rives, Julian; Jorgensen, William L (2017) Improved Treatment of Nucleosides and Nucleotides in the OPLS-AA Force Field. Chem Phys Lett 683:276-280
Yan, Xin Cindy; Robertson, Michael J; Tirado-Rives, Julian et al. (2017) Improved Description of Sulfur Charge Anisotropy in OPLS Force Fields: Model Development and Parameterization. J Phys Chem B 121:6626-6636
Dodda, Leela S; Cabeza de Vaca, Israel; Tirado-Rives, Julian et al. (2017) LigParGen web server: an automatic OPLS-AA parameter generator for organic ligands. Nucleic Acids Res 45:W331-W336

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