A long-term objective of this research is the development of theoretical methods to be used as general tools in the investigation of enzyme-substrate interactions, drug design and protein engineering. The specific problems to be addressed involve the further development of the stochastic boundary molecular dynamics simulation method and applications of this technique to study protein-ligand interactions in aqueous solution. Developments of the stochastic boundary molecular dynamics approach include: a) the development of a protein boundary force model which describes electrostatic effects from distant parts of the biopolymer, and b) the development of an analytical solvent boundary force which properly accounts for solvent dielectric effects. These methods are extremely important in providing the correct energetic and thermodynamic description of aqueous biopolymers. The stochastic boundary molecular dynamics method will then be employed to study the structure, dynamics, and thermodynamics of enzyme-inhibitor interactions for aqueous solutions of; benzamidine inhibited trypsin, with substituted benzamidines also being examined; and ternary complexes of dihydrofolate reductase, from chicken liver, nicotinamide-adenine dinucleotide phosphate and trimethoprim (including, benzyl-substituted varients of trimethoprim). Particular attention will be focused on the relative binding affinities between substituted inhibitors and the interactions of solvent with both enzyme and substrate.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM037554-03
Application #
3292893
Study Section
Biophysics and Biophysical Chemistry A Study Section (BBCA)
Project Start
1986-12-01
Project End
1989-11-30
Budget Start
1988-12-01
Budget End
1989-11-30
Support Year
3
Fiscal Year
1989
Total Cost
Indirect Cost
Name
Carnegie-Mellon University
Department
Type
Schools of Arts and Sciences
DUNS #
052184116
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Vilseck, Jonah Z; Armacost, Kira A; Hayes, Ryan L et al. (2018) Predicting Binding Free Energies in a Large Combinatorial Chemical Space Using Multisite ? Dynamics. J Phys Chem Lett 9:3328-3332
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Ding, Xinqiang; Hayes, Ryan L; Vilseck, Jonah Z et al. (2018) CDOCKER and ?-dynamics for prospective prediction in D?R Grand Challenge 2. J Comput Aided Mol Des 32:89-102
Su, Min; Guo, Emily Z; Ding, Xinqiang et al. (2017) Mechanism of Vps4 hexamer function revealed by cryo-EM. Sci Adv 3:e1700325
Hayes, Ryan L; Armacost, Kira A; Vilseck, Jonah Z et al. (2017) Adaptive Landscape Flattening Accelerates Sampling of Alchemical Space in Multisite ? Dynamics. J Phys Chem B 121:3626-3635
Kim, Seonghoon; Lee, Jumin; Jo, Sunhwan et al. (2017) CHARMM-GUI ligand reader and modeler for CHARMM force field generation of small molecules. J Comput Chem 38:1879-1886
Ding, Xinqiang; Vilseck, Jonah Z; Hayes, Ryan L et al. (2017) Gibbs Sampler-Based ?-Dynamics and Rao-Blackwell Estimator for Alchemical Free Energy Calculation. J Chem Theory Comput 13:2501-2510
Won, Sang Joon; Davda, Dahvid; Labby, Kristin J et al. (2016) Molecular Mechanism for Isoform-Selective Inhibition of Acyl Protein Thioesterases 1 and 2 (APT1 and APT2). ACS Chem Biol 11:3374-3382
Mustoe, Anthony M; Al-Hashimi, Hashim M; Brooks 3rd, Charles L (2016) Secondary structure encodes a cooperative tertiary folding funnel in the Azoarcus ribozyme. Nucleic Acids Res 44:402-12
Lee, Jumin; Cheng, Xi; Swails, Jason M et al. (2016) CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field. J Chem Theory Comput 12:405-13

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