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Research Articles

A systematic computational analysis of human matrix metalloproteinase 13 (MMP-13) crystal structures and structure-based identification of prospective drug candidates as MMP-13 inhibitors repurposable for osteoarthritis

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Pages 3074-3086 | Received 19 Jun 2019, Accepted 25 Jul 2019, Published online: 12 Aug 2019
 

Abstract

Osteoarthritis (OA) is the most common form of arthritis with no available disease-modifying treatments, and is a major cause of disability. Matrix metalloproteinase 13 (MMP-13) is vital for OA progression and thus, inhibition of MMP-13 is an effective strategy to treat OA. Since the past few decades, drug repurposing has gained substantial popularity worldwide as a time- and cost-effective approach to find new indications for the existing drugs. Therefore, more than 40 X-ray co-crystal structures of the human MMP-13 with bound inhibitors are investigated to gain the structural insights such as conserved direct interactions with binding site residues, namely Ala-238, Thr-245 and Thr-247. Afterwards, enrichment study using active and decoy set of ligands revealed three MMP-13 structures (PDB-IDs: 1XUC, 3WV1 and 5BPA) with optimal enrichment performance. Docking-based screening of existing drugs against the three crystal structures followed by binding free-energy calculation suggested drugs namely eltrombopag, cilostazol and domperidone as potential MMP-13 inhibitors that need further experimental validation. These insights may serve as a potential starting point of further experimental validation and structure-based drug design/repurposing of MMP-13 inhibitors for the treatment of OA.

Abbreviations
2D=

two-dimensional

3D=

three-dimensional

FDA=

Food and Drug Administration

MM-GBSA=

Molecular Mechanics Generalized Born Surface Area

MMPs=

matrix metalloproteinases

MMP-13=

matrix metalloproteinase 13

NMR=

nuclear magnetic resonance

OA=

osteoarthritis

PDB=

Protein Data Bank

PDB-ID=

Protein Data Bank ID

PLIP=

protein–ligand interaction profiler

ROC=

receiver operating characteristic,

RMSD=

root mean square deviation

Communicated by Ramaswamy H. Sarma

Disclosure statement

The authors declare that they have no conflict of interest.

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