Discovery of novel <scp>MurB</scp> inhibitors through common feature pharmacophore–based virtual screening and in vitro biological evaluation

Abstract MurB, a key enzyme involved in bacterial cell wall synthesis, has become an important target in antibacterial drug research due to its crucial role in inhibiting peptidoglycan biosynthesis. In this study, a virtual screening workflow based on common‐feature pharmacophore models was established using Discovery Studio software. Molecular docking was subsequently performed with FRED, and 13 potential active compounds were successfully identified through visual inspection and structural clustering. These compounds were then subjected to in vitro biological activity evaluation, from which two active compounds, A1 and A10, were ultimately identified. Furthermore, molecular dynamics simulations were employed to investigate the binding modes between the protein and ligands in greater detail. The physicochemical properties and potential toxicity of A1 and A10 were also predicted and analyzed. In summary, this study successfully identified novel MurB inhibitors through a combination of virtual screening and in vitro biological evaluation, providing valuable support for further research and development of antibacterial agents and demonstrating promising application potential.

Authors

Institutions

Publication Details

Journal
Journal of the Chinese Chemical Society
Published
2025-11-25
DOI
https://doi.org/10.1002/jccs.70127
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discovery of novel MurB inhibitors through common feature pharmacophore–based virtual screening and in vitro biological evaluation

Hongwei Jin, Xinxin Si, Qingxin Liu, Siqi Wang et al.
Journal of the Chinese Chemical Society
Computational Drug Discovery Methods
article

Discovery of novel MurB inhibitors through common feature pharmacophore–based virtual screening and in vitro biological evaluation

Hongwei Jin, Xinxin Si, Qingxin Liu, Siqi Wang, Aoqi Luo
article en

Abstract

Abstract MurB, a key enzyme involved in bacterial cell wall synthesis, has become an important target in antibacterial drug research due to its crucial role in inhibiting peptidoglycan biosynthesis. In this study, a virtual screening workflow based on common‐feature pharmacophore models was established using Discovery Studio software. Molecular docking was subsequently performed with FRED, and 13 potential active compounds were successfully identified through visual inspection and structural clustering. These compounds were then subjected to in vitro biological activity evaluation, from which two active compounds, A1 and A10, were ultimately identified. Furthermore, molecular dynamics simulations were employed to investigate the binding modes between the protein and ligands in greater detail. The physicochemical properties and potential toxicity of A1 and A10 were also predicted and analyzed. In summary, this study successfully identified novel MurB inhibitors through a combination of virtual screening and in vitro biological evaluation, providing valuable support for further research and development of antibacterial agents and demonstrating promising application potential.

Journal of the Chinese Chemical SocietyVol. 73(2)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Hebei University (CN)
Openalex Percentile: Top 63%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.