Decoding the anticancer and biofilm-inhibiting efficacy of Adansonia digitata using experimental, AI-powered, and molecular modeling approaches.

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Title: Decoding the anticancer and biofilm-inhibiting efficacy of Adansonia digitata using experimental, AI-powered, and molecular modeling approaches.
Authors: Pandi S; Center for Bioinformatics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.; Department of Microbiology, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India., Kathiresan N; Department of Biotechnology, Alagappa University, Karaikudi, Tamil Nadu, India., Kumar Subbaraj G; Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education (Deemed to be University), Kelambakkam, Tamil Nadu, India., Desai D; Department of Microbiology, Dr. D. Y. Patil Medical College Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to be University), Pimpri, India., Nagarajan C; Department of Microbiology, Sri Venkateswara Dental College and Hospital (Affiliated to The TN Dr. MGR Medical University), Chennai, India., Kulanthaivel L; Department of Biomedical Science, Alagappa University, Karaikudi, Tamil Nadu, India.
Source: Frontiers in molecular biosciences [Front Mol Biosci] 2025 Oct 29; Vol. 12, pp. 1666360. Date of Electronic Publication: 2025 Oct 29 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653173 Publication Model: eCollection Cited Medium: Print ISSN: 2296-889X (Print) Linking ISSN: 2296889X NLM ISO Abbreviation: Front Mol Biosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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