A multifaceted research program is being directed at developing the capacity to make quantitative predictions on the structure and reactivity of biomolecular systems. The theoretical approach centers on computer similations at the atomic level using Monte Carlo statistical mechanics and molecular dynamics. A key element in the success of the computations is the need for potential functions that properly describe the interatomic interactions in the modeled systems. A complete set of such functions is being developed for representation of proteins and nucleic acids in their native environment. Parameterization includes results of high-level, ab initio quantum mechanics calculations and, most importantly, reproduction of experimental structural and thermodynamic data for pure organic liquids and aqueous solutions. Application and testing on biochemical systems will cover a range of complexity from oligopeptides to enzymes. A major thrust will be studies of the structures and binding characteristics of the third domains of avian ovomucoids. Many biophysical data are available on these serine protease inhibitors including over 100 sequences, several x-ray structures, and binding constants with a series of enzymes. Structures will be calculated for interesting sequence variants and hydrolyzed inhibitors in water prior to diffraction studies. Calculations of relative binding constants are also planned using the latest free energy techniques. In addition, amphiphilic interfacial systems will be modeled to gain insight into the structure of biological membranes. Initial studies will include simulations of biphasic alcohol/water systems as well as monolayers of alcohols on water. Subsequent work on the interface between water and phospholipid head groups will lead to simulations of full phospholipid bilayers.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM032136-05
Application #
3280763
Study Section
Biophysics and Biophysical Chemistry A Study Section (BBCA)
Project Start
1983-07-01
Project End
1991-06-30
Budget Start
1987-07-01
Budget End
1988-06-30
Support Year
5
Fiscal Year
1987
Total Cost
Indirect Cost
Name
Purdue University
Department
Type
Schools of Arts and Sciences
DUNS #
072051394
City
West Lafayette
State
IN
Country
United States
Zip Code
47907
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
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 :
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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