Protocol

Matrix Metalloproteases

Volume 1579 of the series Methods in Molecular Biology pp 273-285

Date:

Computational Approaches to Matrix Metalloprotease Drug Design

  • Tanya SinghAffiliated withDepartment of Chemistry, Indian Institute of TechnologySupercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology
  • , B. JayaramAffiliated withDepartment of Chemistry, Indian Institute of TechnologySupercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of TechnologyKusuma School of Biological Sciences, Indian Institute of Technology Email author 
  • , Olayiwola Adedotun AdekoyaAffiliated withDepartment of Pharmacy, University of Tromsø

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Matrix metalloproteinases (MMPs) are a family of zinc-containing enzymes required for homeostasis. These enzymes are an important class of drug targets as their over expression is associated with many disease states. Most of the inhibitors reported against this class of proteins have failed in clinical trials due to lack of specificity. In order to assist in drug design endeavors for MMP targets, a computationally tractable pathway is presented, comprising, (1) docking of small molecule inhibitors against the target MMPs, (2) derivation of quantum mechanical charges on the zinc ion in the active site and the amino acids coordinating with zinc including the inhibitor molecule, (3) molecular dynamics simulations on the docked ligand–MMP complexes, and (4) evaluation of binding affinities of the ligand–MMP complexes via an accurate scoring function for zinc containing metalloprotein–ligand complexes. The above pathway was applied to study the interaction of the inhibitor Batimastat with MMPs, which resulted in a high correlation between the predicted and experimental binding free energies, suggesting the potential applicability of the pathway.

Key words

Matrix metalloprotease Computer-aided drug design Docking and scoring Molecular dynamics simulations