Molecular dynamics and Monte Carlo simulations for protein-ligand binding and inhibitor design.

Abstract

BACKGROUND:

Non-nucleoside inhibitors of HIV reverse transcriptase are an important component of treatment against HIV infection. Novel inhibitors are sought that increase potency against variants that contain the Tyr181Cys mutation.

METHODS:

Molecular dynamics based free energy perturbation simulations have been run to study factors that contribute to protein-ligand binding, and the results are compared with those from previous Monte Carlo based simulations and activity data.

RESULTS:

Predictions of protein-ligand binding modes are very consistent for the two simulation methods; the accord is attributed to the use of an enhanced sampling protocol. The Tyr181Cys binding pocket supports large, hydrophobic substituents, which is in good agreement with experiment.

CONCLUSIONS:

Although some discrepancies exist between the results of the two simulation methods and experiment, free energy perturbation simulations can be used to rapidly test small molecules for gains in binding affinity.

GENERAL SIGNIFICANCE:

Free energy perturbation methods show promise in providing fast, reliable and accurate data that can be used to complement experiment in lead optimization projects. This article is part of a Special Issue entitled "Recent developments of molecular dynamics".

• Authors: Daniel J Cole, Julian Tirado-Rives, William L Jorgensen
• Journal: Biochimica et biophysica acta (Biochim Biophys Acta) Vol. 1850 Issue 5 Pg. 966-971 (May 2015) ISSN: 0006-3002 [Print] Netherlands
• PMID: 25196360 (Publication Type: Journal Article, Research Support, N.I.H., Extramural)
• Copyright: Copyright © 2014 Elsevier B.V. All rights reserved.

Chemical References

• Anti-HIV Agents
• Benzoxazoles
• Ligands
• Reverse Transcriptase Inhibitors
• reverse transcriptase, Human immunodeficiency virus 1
• HIV Reverse Transcriptase

Topics

• Anti-HIV Agents (chemistry, metabolism, pharmacology)
• Benzoxazoles (chemistry, metabolism, pharmacology)
• Computer-Aided Design
• Drug Design
• Drug Resistance, Viral (genetics)
• Energy Transfer
• HIV Reverse Transcriptase (antagonists & inhibitors, chemistry, genetics, metabolism)
• Hydrophobic and Hydrophilic Interactions
• Ligands
• Molecular Dynamics Simulation
• Molecular Structure
• Monte Carlo Method
• Mutation
• Protein Binding
• Protein Conformation
• Reverse Transcriptase Inhibitors (chemistry, metabolism, pharmacology)
• Structure-Activity Relationship