Title :
Prediction of the Binding Mode between the Small Peptide Inhibitor EBR28 with Integrase through Molecular Modeling Methods
Author :
Hu, J.P. ; Gong, X.Q. ; Chang, S. ; Chen, W.Z. ; Wang, C.X.
Author_Institution :
Beijing Univ. of Technol., Beijing
Abstract :
Human immunodeficiency virus type 1 (HIV-1) integrase (IN), which aids the integration of viral DNA into the host chromosome, is an essential enzyme in the lifecycle of this virus and also an important target for the study of anti-HIV drugs. Recently synthesized 12-mer EBR28 which was identified through the yeast two-hybrid system and could strongly bind to IN is one of the most potential small peptide leading compounds inhibiting IN binding to viral DNA. The binding mode of IN core domain and its peptide inhibitor EBR28 was investigated by using molecular docking and molecular dynamics (MD) simulation and confirmed with a semi-empirical binding free energy calculation method, i.e. MM-GBSA model. The results show that EBR28 binds to the interspace between alpha1 helix and alpha5 helix in the IN core domain mainly through hydrophobic interactions, which impedes the dimerization of the two IN monomers and inhibits IN binding to viral DNA in the end. The correlation between calculated and experimental binding free energies is very good (r = 0.88). All of the above simulation results agree well with experimental data, which provide us with some helpful information for designing anti-HIV small peptide drugs based on the structure of IN.
Keywords :
DNA; association; biochemistry; bonds (chemical); diseases; drugs; enzymes; free energy; inhibitors; microorganisms; molecular biophysics; molecular dynamics method; 12-mer EBR28; HIV-1; IN core domain; IN monomer dimerization; MM-GBSA model; alpha1 helix; alpha5 helix; antiHIV drugs; binding mode; enzyme; host chromosome; human immunodeficiency virus type 1 integrase; hydrophobic interaction; molecular docking; molecular dynamics simulation; molecular modeling method; semiempirical binding free energy calculation method; small peptide inhibitor; viral DNA integration; yeast two-hybrid system; Biochemistry; Biological cells; DNA; Drugs; Fungi; Human immunodeficiency virus; Inhibitors; Lead compounds; Peptides; Predictive models;
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
DOI :
10.1109/ICCME.2007.4382019