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Improved prediction of HIV-1 protease-inhibitor binding energies by molecular dynamics simulations.


ABSTRACT: BACKGROUND:The accurate prediction of enzyme-substrate interaction energies is one of the major challenges in computational biology. This study describes the improvement of protein-ligand binding energy prediction by incorporating protein flexibility through the use of molecular dynamics (MD) simulations. RESULTS:Docking experiments were undertaken using the program AutoDock for twenty-five HIV-1 protease-inhibitor complexes determined by x-ray crystallography. Protein-rigid docking without any dynamics produced a low correlation of 0.38 between the experimental and calculated binding energies. Correlations improved significantly for all time scales of MD simulations of the receptor-ligand complex. The highest correlation coefficient of 0.87 between the experimental and calculated energies was obtained after 0.1 picoseconds of dynamics simulation. CONCLUSION:Our results indicate that relaxation of protein complexes by MD simulation is useful and necessary to obtain binding energies that are representative of the experimentally determined values.

SUBMITTER: Jenwitheesuk E 

PROVIDER: S-EPMC154089 | biostudies-literature | 2003 Apr

REPOSITORIES: biostudies-literature

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Improved prediction of HIV-1 protease-inhibitor binding energies by molecular dynamics simulations.

Jenwitheesuk Ekachai E   Samudrala Ram R  

BMC structural biology 20030401


<h4>Background</h4>The accurate prediction of enzyme-substrate interaction energies is one of the major challenges in computational biology. This study describes the improvement of protein-ligand binding energy prediction by incorporating protein flexibility through the use of molecular dynamics (MD) simulations.<h4>Results</h4>Docking experiments were undertaken using the program AutoDock for twenty-five HIV-1 protease-inhibitor complexes determined by x-ray crystallography. Protein-rigid docki  ...[more]

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