A fragment-based exploration of diverse MMP-9 inhibitors through classification-dependent structural assessment

Copyright © 2023 Elsevier Inc. All rights reserved..

Matrix metalloproteinases (MMPs) are belonging to the Zn2+-dependent metalloenzymes. These can degenerate the extracellular matrix (ECM) that is entailed with various biological processes. Among the MMP family members, MMP-9 is associated with several pathophysiological circumstances. Apart from wound healing, remodeling of bone, inflammatory mechanisms, and rheumatoid arthritis, MMP-9 has also significant roles in tumor invasion and metastasis. Therefore, MMP-9 has been in the spotlight of anticancer drug discovery programs for more than a decade. In this present study, classification-based QSAR techniques along with fragment-based data mining have been carried out on divergent MMP-9 inhibitors to point out the important structural attributes. This current study may be able to elucidate the importance of several pivotal molecular fragments such as sulfonamide, hydroxamate, i-butyl, and ethoxy functions for imparting potential MMP-9 inhibition. These observations are in correlation with the ligand-bound co-crystal structures of MMP-9. Therefore, these findings are beneficial for the design and discovery of effective MMP-9 inhibitors in the future.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:126

Enthalten in:

Journal of molecular graphics & modelling - 126(2024) vom: 01. Jan., Seite 108671

Sprache:

Englisch

Beteiligte Personen:

Baidya, Sandip Kumar [VerfasserIn]
Banerjee, Suvankar [VerfasserIn]
Ghosh, Balaram [VerfasserIn]
Jha, Tarun [VerfasserIn]
Adhikari, Nilanjan [VerfasserIn]

Links:

Volltext

Themen:

Bayesian classification
Binding affinity
EC 3.4.24.35
Journal Article
LDA
MMP-9
Matrix Metalloproteinase 9
Matrix Metalloproteinase Inhibitors
Recursive partitioning
Research Support, Non-U.S. Gov't
SARpy
Sulfonamides

Anmerkungen:

Date Completed 27.11.2023

Date Revised 17.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jmgm.2023.108671

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM364685174