Breaking resistance with machine and deep learning: A computational intelligence hunt for AmvR (TetR) inhibitors in Acinetobacterbaumannii.

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Title: Breaking resistance with machine and deep learning: A computational intelligence hunt for AmvR (TetR) inhibitors in Acinetobacterbaumannii.
Authors: Almutawif YA; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taibah University, Madinah, 42353, Saudi Arabia. Electronic address: Ymutawif@taibahu.edu.sa., Amin S; Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000, Pakistan. Electronic address: saadamin@aup.edu.pk., Ahmad S; Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000, Pakistan. Electronic address: sajjad.ahmad@abasyn.edu.pk., Khan K; Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000, Pakistan. Electronic address: bioinfo869@gmail.com., Ullah A; Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000, Pakistan. Electronic address: asadullahaup@gmail.com., Siddique AN; Department of Biotechnology, Bacha Khan University, Charsada, Pakistan. Electronic address: abunasarfarabi@gmail.com., Ahmad F; National Institute of Health, Islamabad, 44000, Pakistan. Electronic address: faisalahmad@bs.qau.edu.pk.
Source: Journal of molecular graphics & modelling [J Mol Graph Model] 2026 Mar; Vol. 143, pp. 109261. Date of Electronic Publication: 2025 Dec 22.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science, Inc Country of Publication: United States NLM ID: 9716237 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4243 (Electronic) Linking ISSN: 10933263 NLM ISO Abbreviation: J Mol Graph Model Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4243
DOI:10.1016/j.jmgm.2025.109261