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Structure-based design of Mycobacterium tuberculosis PptT-ACP complex inhibitors using derivative design and machine learning.

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Bibliographic Details
Title: Structure-based design of Mycobacterium tuberculosis PptT-ACP complex inhibitors using derivative design and machine learning.
Authors: Alotaibi BS; Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia., Dwivedi VD; Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospitals, Saveetha University, Chennai, India.; Bioinformatics Research Division, Quanta Calculus, Greater Noida, India., Kamal MA; Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. MAKamal@pnu.edu.sa.; Novel Global Community Educational Foundation, Hebersham, Australia. MAKamal@pnu.edu.sa.; Department of Pharmacy, Faculty of Health and Life Sciences, Daffodil International University, Dhaka, 1216, Bangladesh. MAKamal@pnu.edu.sa.
Source: Folia microbiologica [Folia Microbiol (Praha)] 2026 Apr; Vol. 71 (2), pp. 443-459. Date of Electronic Publication: 2025 Jun 02.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 0376757 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1874-9356 (Electronic) Linking ISSN: 00155632 NLM ISO Abbreviation: Folia Microbiol (Praha) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1874-9356
DOI:10.1007/s12223-025-01274-4