4.7 Article

Molecular Dynamics Investigation on a Series of HIV Protease Inhibitors: Assessing the Performance of MM-PBSA and MM-GBSA Approaches

Journal

JOURNAL OF CHEMICAL INFORMATION AND MODELING
Volume 52, Issue 11, Pages 3088-3098

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ci300385h

Keywords

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Funding

  1. Department of Science and Technology (DST), New Delhi [SR/FT/CS-031/2009]
  2. DBT
  3. CSIR, New Delhi

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The binding free energies (Delta G(Bind)) obtained from molecular mechanics with Poisson-Boltzmann surface area (MM-PBSA) or molecular mechanics with Generalized Born surface area (MM-GBSA) calculations using molecular dynamics (MD) trajectories are the most popular procedures to measure the strength of interactions between a ligand and its receptor. Several attempts have been made to correlate the Delta G(Bind) and experimental IC50 values in order to observe the relationship between binding strength of a ligand (with its receptor) and its inhibitory activity. The duration of MD simulations seems very important for getting acceptable correlation. Here, we are presenting a systematic study to estimate the reasonable MD simulation time for acceptable correlation between Delta G(Bind) and experimental IC50 values. A comparison between MM-PBSA and MM-GBSA approaches is also presented at various time scales. MD simulations (10 ns) for 14 HIV protease inhibitors have been carried out by using the Amber program. MM-PBSA/GBSA based Delta G(Bind) have been calculated and correlated with experimental IC(50)values at different time scales (0-1 to 0-10 ns). This study clearly demonstrates that the MM-PBSA based Delta G(Bind) (Delta G(Bind)-PB) values provide very good correlation with experimental IC50 values (quantitative and qualitative) when MD simulation is carried out for a longer time; however, MM-GBSA based Delta G(Bind) (Delta G(Bind)-GB) values show acceptable correlation for shorter time of simulation also. The accuracy of Delta G(Bind)-PB increases and Delta G(Bind)-GB remains almost constant with the increasing time of simulation.

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