Skip to main navigation Skip to search Skip to main content

Integrated in silico and in vitro screening approaches for the discovery of small-molecule inhibitors of β-carbonic anhydrases

Research output: Contribution to journalReview Articlepeer-review

1 Downloads (Pure)

Abstract

Introduction
β-Carbonic anhydrases (β-CAs) are zinc-dependent metalloenzymes that catalyze the reversible hydration of carbon dioxide to bicarbonate and protons. They are widely distributed in bacteria, where they support pH regulation, inorganic carbon homeostasis, and central metabolism. Unlike humans, which express only α-class carbonic anhydrases, many bacterial pathogens encode β-CAs, highlighting these enzymes as attractive antibacterial targets with reduced risk of host cross-reactivity.

Areas covered
This review discusses integrated in silico and in vitro strategies for the discovery and validation of small-molecule inhibitors targeting bacterial β-CAs. Computational approaches – including pharmacophore modeling, molecular docking, molecular dynamics simulations, and machine learning – are increasingly used to prioritize and optimize candidate inhibitors. Experimental validation employs enzymatic activity assays, biophysical binding techniques, and whole-cell assays to assess target engagement and antibacterial effects. Current inhibitor classes include sulfonamides, coumarins, dithiocarbamates, phenolic compounds, and natural products, with selected chemotypes demonstrating antibacterial or antivirulence activity in specific models. Relevant literature was identified through searches of PubMed, Web of Science, and Scopus, focusing on studies published between approximately 2000 and 2025.

Expert opinion
β-CAs represent a tractable yet underexploited antibacterial target class. Successful translation will depend on improving bacterial penetration, pharmacokinetics, and target engagement. When strategically positioned as adjunctive or context-dependent therapies, β-CA inhibitors may contribute to the treatment of drug-resistant bacterial infections, including tuberculosis.
Original languageEnglish
Pages (from-to)319-337
Number of pages19
JournalExpert Opinion on Drug Discovery
Volume21
Issue number3
DOIs
Publication statusPublished - 23 Feb 2026
Publication typeA2 Review article in a scientific journal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Drug discovery
  • artifical intelligence
  • Molecular modeling
  • QSAR
  • drug resistance
  • molecular docking
  • pharmacophore modeling
  • tuberculosis

Publication forum classification

  • Publication forum level 1

Fingerprint

Dive into the research topics of 'Integrated in silico and in vitro screening approaches for the discovery of small-molecule inhibitors of β-carbonic anhydrases'. Together they form a unique fingerprint.

Cite this