Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

INSILICO SCREENING OF SOME CHALCONE ISATIN COMPLEX ANALOGUES AGAINST ANTI-TUBERCULAR POTENTIAL

Praveen Kumar Borra, Runjhun Pallavi, Nadeem Hasan, Pandi Muthukumar, Naresh S. Halke, Neeta Tiwari, Jefferson Rocha de A, Mohammed Saifuddin Khalid

Cuestiones de Fisioterapia · 2025

Read source ↗ All evidence

Summary

This in silico study computationally optimised isatin-linked chalcone compounds for binding to InhA, a key tuberculosis target protein. Four lead compounds (6, 7, 8, 9) showed docking scores of −10.2 to −10.5, exceeding the standard anti-tubercular drug isoniazid (−10.3 in this domain). The authors propose these compounds warrant further in vitro and in vivo evaluation as potential tuberculosis therapeutics, though no experimental validation is presented.

UK applicability

This computational screening study is relevant to tuberculosis drug discovery globally, including the United Kingdom context of antibiotic resistance. However, translation to clinical benefit requires in vitro and in vivo validation before any UK therapeutic development or policy implications can be assessed.

Key measures

Docking scores (binding affinity predictions) for chalcone isatin analogues versus isoniazid against NADH-dependent enoyl-ACP reductase (InhA protein 4QXM)

Outcomes reported

The study evaluated docking scores of chalcone isatin compounds against the tuberculosis target protein InhA (4QXM), comparing binding affinity to the standard anti-tubercular drug isoniazid. Compounds 6, 7, 8, and 9 demonstrated superior docking scores (−10.2 to −10.5) compared to isoniazid (−10.3 in this domain, −6.1 in standard assays), indicating stronger predicted protein binding affinity.

Theme
General food systems / other
Subject
Antimicrobial resistance
Study type
Research
Study design
Computational docking study
Source type
Peer-reviewed study
Status
Published
System type
Laboratory / in vitro
DOI
10.48047/3w3ra843
Catalogue ID
BFmovi1xxb-evheeu

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.