Literature DB >> 23938376

Potent inhibitors precise to S1' loop of MMP-13, a crucial target for osteoarthritis.

Sukesh Kalva1, K Saranyah, P Rathi Suganya, M Nisha, Lilly M Saleena.   

Abstract

Matrix metalloproteinase-13 (MMP-13) is the primary MMP involved in cartilage degradation through its particular ability to cleave type-II collagen. This protein is expressed by chondrocytes and synovial cells in human osteoarthritis and rheumatoid arthritis; hence, it is an attractive target for the treatment of arthritic diseases. Currently available inhibitors lack specificity for metalloproteinase because of a common Zn binding site in MMPs; thus, there is a need to identify selective MMP-13 inhibitors for osteoarthritis therapy. Because selectivity is the major concern, both ligand-based and protein-based pharmacophore methodologies were used to identity potent and selective MMP-13 inhibitors. Different hypotheses were validated, and the best hypothesis was used to screen Zinc (natural and chemical) databases to seek novel scaffolds as MMP-13 inhibitors. The identified hits were validated using different strategies, such as Glide Standard precision, extra precision, E-model energies and receiver operating curve (ROC). In addition, potent inhibitors were selected based on two criteria: a similar binding mode as that of the active site PB3 crystal ligand and crucial amino acid interactions that are catalytically important for the function of MMP-13. The candidate potent inhibitors ZINC 02535232, ZINC 08399795, ZINC 12419118 and ZINC 00624580 nearly reproduced the H-bond interactions formed in the crystal structure of 1XUC with reasonable RMSD values exhibiting a novel interaction pattern that was not previously observed in MMP-13 inhibitors. The identified potent hits with diverse chemical scaffolds may be useful in designing new MMP-13 inhibitors.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Docking; E-model energies; MMP-13; Pharmacophore; QSAR; Zinc database

Mesh:

Substances:

Year:  2013        PMID: 23938376     DOI: 10.1016/j.jmgm.2013.06.005

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  9 in total

1.  Combined structure- and ligand-based pharmacophore modeling and molecular dynamics simulation studies to identify selective inhibitors of MMP-8.

Authors:  Sukesh Kalva; D Vinod; Lilly M Saleena
Journal:  J Mol Model       Date:  2014-04-23       Impact factor: 1.810

2.  Matrix Metalloproteinase-13 as a Target for Suppressing Corneal Ulceration Caused by Pseudomonas aeruginosa Infection.

Authors:  Nan Gao; Ashok Kumar; Fu-Shin X Yu
Journal:  J Infect Dis       Date:  2015-01-13       Impact factor: 5.226

3.  CXCL10 suppression of hem- and lymph-angiogenesis in inflamed corneas through MMP13.

Authors:  Nan Gao; Xiaowei Liu; Jiayin Wu; Juan Li; Chen Dong; Xinyi Wu; Xiao Xiao; Fu-Shin X Yu
Journal:  Angiogenesis       Date:  2017-06-16       Impact factor: 9.596

4.  Multiple receptor-ligand based pharmacophore modeling and molecular docking to screen the selective inhibitors of matrix metalloproteinase-9 from natural products.

Authors:  Qi Gao; Yijun Wang; Jiaying Hou; Qizheng Yao; Ji Zhang
Journal:  J Comput Aided Mol Des       Date:  2017-06-16       Impact factor: 3.686

5.  MicroRNA-411 inhibited matrix metalloproteinase 13 expression in human chondrocytes.

Authors:  Guodong Wang; Yuanmin Zhang; Xiaowei Zhao; Chunyang Meng; Longfei Ma; Ying Kong
Journal:  Am J Transl Res       Date:  2015-10-15       Impact factor: 4.060

6.  Identification of immucillin analogue natural compounds to inhibit Helicobacter pylori MTAN through high throughput virtual screening and molecular dynamics simulation.

Authors:  Divya S Raj; Chidhambara Priya Dharshini Kottaisamy; Waheetha Hopper; Umamaheswari Sankaran
Journal:  In Silico Pharmacol       Date:  2021-03-11

7.  Discovery of novel DGAT1 inhibitors by combination of machine learning methods, pharmacophore model and 3D-QSAR model.

Authors:  Hui Zhang; Chen Shen; Hong-Rui Zhang; Wen-Xuan Chen; Qing-Qing Luo; Lan Ding
Journal:  Mol Divers       Date:  2021-06-23       Impact factor: 3.364

8.  p63 transcriptionally regulates the expression of matrix metallopeptidase 13.

Authors:  Ivana Celardo; Alexey Antonov; Ivano Amelio; Margherita Annicchiarico-Petruzzelli; Gerry Melino
Journal:  Oncotarget       Date:  2014-03-15

9.  Considering Rotatability of Hydroxyl Groups for the Active Site Residues of MMP-13 in Retrospective Virtual Screening Campaigns.

Authors:  Jamal Shamsara
Journal:  Open Med Chem J       Date:  2016-02-02
  9 in total

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