Repurposing the angiotensin II receptor blocker valsartan to inhibit penicillin-binding protein 3 and its mutants in Haemophilus influenzae: a comprehensive in silico approach

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Authors: Srujal Kacha, Janani Arun, Neelu Nargund, Tushar Joshi, Shalini Mathpal, Sudha Ramaiah, Anand Anbarasu
Cited by: 1
References: 90

Abstract

Introduction Ampicillin-resistant Haemophilus influenzae ( H. influenzae ) has been recently designated as a medium-priority bacterial pathogen in 2024 by the World Health Organization (WHO). This pathogen is responsible for a wide range of infections, including sinusitis, acute otitis media, and pneumonia, as well as severe and life-threatening conditions such as bacteremia, meningitis, and epiglottitis. In this context, drug repurposing has emerged as an effective strategy, as the pharmacokinetic properties and safety profiles of approved drugs are already well established, allowing for faster development compared to conventional drug discovery approaches. Methods In the current study, U.S. Food and Drug Administration (FDA)-approved drugs with structural similarity to ampicillin were filtered and evaluated using in silico approaches. Their pharmacokinetic properties and antimicrobial potential were assessed. Molecular docking and simulation studies were conducted to evaluate binding affinities toward wild-type penicillin-binding protein 3 (PBP 3WT ) and its common mutants (PBP3 N526K and PBP3 R517H ). Results An angiotensin II receptor blocker, valsartan, demonstrated strong binding affinity toward all three target proteins, with values of −11.8 kcal/mol for PBP3 WT , −11.4 kcal/mol for PBP3 N526K , and −11.1 kcal/mol for PBP3 R517H . The drug also exhibited strong intermolecular interactions and maintained stable binding with all three PBP3 variants during molecular dynamics simulations. Discussion Based on these findings, valsartan is proposed as a potential PBP3 inhibitor targeting H. influenzae . The results support its candidacy for drug repurposing; however, further in vitro investigations are recommended to experimentally validate its antimicrobial activity.

Fields of Study & Subjects

Bacterial Infections and Vaccines Computational Drug Discovery Methods Pneumonia and Respiratory Infections

Publication details

Journal / source
Frontiers in Bioinformatics
Publisher
Frontiers Media SA
Volume
6
Pages
1765472–1765472
Publication date
28 April 2026
Language
EN