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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/20747
Title: Improved prediction of HIV-1 protease-inhibitor binding energies by molecular dynamics simulations
Authors: Ekachai Jenwitheesuk
Ram Samudrala
University of Washington School of Medicine
Mahidol University
Keywords: Biochemistry, Genetics and Molecular Biology
Issue Date: 1-Apr-2003
Citation: BMC Structural Biology. Vol.3, (2003), 1-9
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=3042668215&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/20747
ISSN: 14726807
Appears in Collections:Scopus 2001-2005

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