Premium
Molecular Docking and Dynamics Simulation, Receptor‐based Hypothesis: Application to Identify Novel Sirtuin 2 Inhibitors
Author(s) -
Sakkiah Sugunadevi,
Thangapandian Sundarapandian,
Park Chanin,
Son Minky,
Lee Keun W.
Publication year - 2012
Publication title -
chemical biology and drug design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 77
eISSN - 1747-0285
pISSN - 1747-0277
DOI - 10.1111/j.1747-0285.2012.01406.x
Subject(s) - sirtuin , sirt2 , docking (animal) , computational biology , molecular dynamics , nad+ kinase , histone deacetylase , virtual screening , drug discovery , decoy , active site , biology , chemistry , histone , biochemistry , enzyme , receptor , computational chemistry , medicine , dna , nursing
Sirtuin, NAD + ‐dependent histone deacetylase enzyme, emerged as a potential therapeutic target, and modulations by small molecules could be effective drugs for various diseases. Owing to the absence of complex structure of sirtuin 2 (SIRT2), sirtinol was docked in the NAD + binding site and subjected to 5‐nseconds molecular dynamics (MD) simulation. LigandScout was used to develop hypotheses based on 3‐representative SIRT2 complex structures from MD. Three structure‐based hypotheses are generated and merged to form dynamics hypothesis. The dynamics hypothesis was validated using test and decoy sets. The results showed that dynamic hypothesis represents the complementary features of SIRT2 active site. Dynamic hypothesis was used to screen ChemDiv database, and hits were filtered through ADMET, rule of five, and two different molecular docking studies. Finally, 21 molecules were selected as potent leads based on consensus score from LigandFit, Gold fitness score, binding affinity from VINA as well as based on the important interactions with critical residues in SIRT2 active site. Hence, we suggest that the dynamic hypothesis will be reliable in the identification of SIRT2 new lead as well as to reduce time and cost in the drug discovery process.