Abstract

When calculating binding free energies it is often essential to correctly calculate the solvation free energies of the subsystems which bind together. Our ability to predict solvation free enrgies can greatly affect the binding free energies calculated. Amines represent a good model to test our methods for solvation free energy evaluation, since their solvation is anomalous and hard to calculate.
The aim of our project is to improve the calculations of solvation free energies of amines by developing better models of solvation. We design several models of amines using the most recent ab initio data and atomic polarizabilities. The free energies we calculated are improved compared to previous calculations, yet not in perfect agreement with experiment. We are trying to develop even better models by using different forms of the hydrogen bond interactions and also to develop simple models, which would yet give reasonable free energies. We used CGL molecular graphics to check the structure of the water box, the correct geometry of amine - water complexes and hydrogen bonds, and to check shrinking of amine bonds during free energy perturbation.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001081-23
Application #
6347977
Study Section
Project Start
2000-07-01
Project End
2001-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
23
Fiscal Year
2000
Total Cost
$545
Indirect Cost

  Institution

Name
University of California San Francisco
Department
Type
DUNS #
073133571
City
San Francisco
State
CA
Country
United States
Zip Code
94143

  Publications

Kozak, John J; Gray, Harry B; Garza-López, Roberto A (2018) Relaxation of structural constraints during Amicyanin unfolding. J Inorg Biochem 179:135-145
Alamo, Lorenzo; Pinto, Antonio; Sulbarán, Guidenn et al. (2018) Lessons from a tarantula: new insights into myosin interacting-heads motif evolution and its implications on disease. Biophys Rev 10:1465-1477
Viswanath, Shruthi; Chemmama, Ilan E; Cimermancic, Peter et al. (2017) Assessing Exhaustiveness of Stochastic Sampling for Integrative Modeling of Macromolecular Structures. Biophys J 113:2344-2353
Chu, Shidong; Zhou, Guangyan; Gochin, Miriam (2017) Evaluation of ligand-based NMR screening methods to characterize small molecule binding to HIV-1 glycoprotein-41. Org Biomol Chem 15:5210-5219
Portioli, Corinne; Bovi, Michele; Benati, Donatella et al. (2017) Novel functionalization strategies of polymeric nanoparticles as carriers for brain medications. J Biomed Mater Res A 105:847-858
Alamo, Lorenzo; Koubassova, Natalia; Pinto, Antonio et al. (2017) Lessons from a tarantula: new insights into muscle thick filament and myosin interacting-heads motif structure and function. Biophys Rev 9:461-480
Nguyen, Hai Dang; Yadav, Tribhuwan; Giri, Sumanprava et al. (2017) Functions of Replication Protein A as a Sensor of R Loops and a Regulator of RNaseH1. Mol Cell 65:832-847.e4
Sofiyev, Vladimir; Kaur, Hardeep; Snyder, Beth A et al. (2017) Enhanced potency of bivalent small molecule gp41 inhibitors. Bioorg Med Chem 25:408-420
Nekouzadeh, Ali; Rudy, Yoram (2016) Conformational changes of an ion-channel during gating and emerging electrophysiologic properties: Application of a computational approach to cardiac Kv7.1. Prog Biophys Mol Biol 120:18-27
Towse, Clare-Louise; Vymetal, Jiri; Vondrasek, Jiri et al. (2016) Insights into Unfolded Proteins from the Intrinsic ?/? Propensities of the AAXAA Host-Guest Series. Biophys J 110:348-361

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