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

Fluorescence microscopy demonstrated that ADEE effectively inhibited biofilm formation and reduced cell viability at a concentration of 1.56 μg/mL. These findings suggest that ADEE disrupts quorum-sensing signaling pathways and compromises the structural integrity of the biofilm matrix. Further assessments of cytotoxicity revealed a dose-dependent reduction in cancer cell viability, highlighting the potent anticancer properties of ADEE. The study also confirmed the pro-apoptotic effects of ADEE through Hoechst and AO/EB staining techniques. Validation utilizing GNINA-based deep learning techniques demonstrated an enhanced binding affinity and pose stability of compounds derived from ADEE. Molecular dynamics simulations provided insights into the interactions of ADEE with pqsA and CK2, showing more favorable binding characteristics compared to the reference inhibitor. PCA/FEL analyses indicated stable conformations with significant interactions at critical residues. In summary, the phytocompounds identified in ADEE demonstrated enhanced binding affinity and structural stability, indicating promising therapeutic potential for targeting QS-regulated biofilm development and serving as potential anticancer agents.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2025-10-29
DOI
https://doi.org/10.3389/fmolb.2025.1666360
Citations
1
Primary Topic
Bacterial biofilms and quorum sensing
Type
article
Field-Weighted Citation Impact
0.81
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article

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

Gowtham Kumar Subbaraj, Sangavi Pandi, Langeswaran Kulanthaivel, Deepali Desai et al.
1 citations
Frontiers in Molecular Biosciences
Bacterial biofilms and quorum sensing
0.81
article

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

Gowtham Kumar Subbaraj, Sangavi Pandi, Langeswaran Kulanthaivel, Deepali Desai, Chitra Nagarajan, Nachammai Kathiresan
article en
1 citations

Abstract

Fluorescence microscopy demonstrated that ADEE effectively inhibited biofilm formation and reduced cell viability at a concentration of 1.56 μg/mL. These findings suggest that ADEE disrupts quorum-sensing signaling pathways and compromises the structural integrity of the biofilm matrix. Further assessments of cytotoxicity revealed a dose-dependent reduction in cancer cell viability, highlighting the potent anticancer properties of ADEE. The study also confirmed the pro-apoptotic effects of ADEE through Hoechst and AO/EB staining techniques. Validation utilizing GNINA-based deep learning techniques demonstrated an enhanced binding affinity and pose stability of compounds derived from ADEE. Molecular dynamics simulations provided insights into the interactions of ADEE with pqsA and CK2, showing more favorable binding characteristics compared to the reference inhibitor. PCA/FEL analyses indicated stable conformations with significant interactions at critical residues. In summary, the phytocompounds identified in ADEE demonstrated enhanced binding affinity and structural stability, indicating promising therapeutic potential for targeting QS-regulated biofilm development and serving as potential anticancer agents.

Frontiers in Molecular BiosciencesVol. 12
Alagappa University (IN), Chettinad Academy of Research and Education (IN), Tamil Nadu Dr. M.G.R. Medical University (IN), Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN), Dr. D.Y. Patil Vidyapeeth, Pune (IN), Karpagam Academy of Higher Education (IN)
Openalex Percentile: Top 22%
Bacterial biofilms and quorum sensing
0.81
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Decoding the anticancer and biofilm-inhibiting efficacy of Adansonia digitata using experimental, AI-powered, and molecular modeling approaches — Gowtham Kumar Subbaraj, Sangavi Pandi, et al. · Frontiers in Molecular Biosciences (2025) | TGRS Research Map | TGRS