In silico Analysis of Phytocompounds from

New Delhi metallo-β-lactamase-1 (NDM-1) is a major determinant of antibiotic resistance responsible for hydrolyzing β-lactam antibiotics, including carbapenems, in Klebsiella pneumoniae. This study aimed to find potential phytocompound inhibitors of NDM-1 from three medicinal plants, Andrographis paniculata, Gymnema sylvestre, and Plumbago auriculata, by using an in silico computational approach. The NDM-1 three-dimensional structure was obtained from the Protein Data Bank, and phytocompound structures were collected from the IMPPAT database. AutoDock Vina has been used for performing molecular docking, followed by visualization and interaction analysis using AutoDock Tools 1.5.7. Pharmacokinetic and toxicity screening (ADMET and ProTox-III) was performed to assess drug likeness and safety. Docking results revealed different inhibitory potentials among screened phytocompounds. Alpha-Amyrin from Plumbago auriculata shows the highest binding affinity (-8.9 kcal/mol), followed by Beta-Amyrin from Gymnema sylvestre and Plumbago auriculata (-8.8 kcal/mol). All selected phytocompounds showed favourable ADMET profiles and low predicted toxicity, with Beta-Amyrin, Alpha-Amyrin, Daucosterol, and Resiniferonol showing the safest toxicity scores. These findings suggest that selected phytocompounds, particularly Alpha-Amyrin and Beta-Amyrin, may provide promising lead compounds for developing NDM-1 enzyme inhibitors. Despite this, further in vitro and in vivo validation is required to confirm their therapeutic potential.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-01-21
DOI
https://doi.org/10.1051/epjconf/202634801027/pdf
Primary Topic
Andrographolide Research and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

In silico Analysis of Phytocompounds from

Md. Rabiul Alam, Karuppasamy Chellapandi, Ramzan Ahmed, Sirikanjana Thongmee et al.
Springer Link (Chiba Institute of Technology)
Andrographolide Research and Applications
article

In silico Analysis of Phytocompounds from

Md. Rabiul Alam, Karuppasamy Chellapandi, Ramzan Ahmed, Sirikanjana Thongmee, Noor Afsha, Laishram Shantikumar Singh
article en

Abstract

New Delhi metallo-β-lactamase-1 (NDM-1) is a major determinant of antibiotic resistance responsible for hydrolyzing β-lactam antibiotics, including carbapenems, in Klebsiella pneumoniae. This study aimed to find potential phytocompound inhibitors of NDM-1 from three medicinal plants, Andrographis paniculata, Gymnema sylvestre, and Plumbago auriculata, by using an in silico computational approach. The NDM-1 three-dimensional structure was obtained from the Protein Data Bank, and phytocompound structures were collected from the IMPPAT database. AutoDock Vina has been used for performing molecular docking, followed by visualization and interaction analysis using AutoDock Tools 1.5.7. Pharmacokinetic and toxicity screening (ADMET and ProTox-III) was performed to assess drug likeness and safety. Docking results revealed different inhibitory potentials among screened phytocompounds. Alpha-Amyrin from Plumbago auriculata shows the highest binding affinity (-8.9 kcal/mol), followed by Beta-Amyrin from Gymnema sylvestre and Plumbago auriculata (-8.8 kcal/mol). All selected phytocompounds showed favourable ADMET profiles and low predicted toxicity, with Beta-Amyrin, Alpha-Amyrin, Daucosterol, and Resiniferonol showing the safest toxicity scores. These findings suggest that selected phytocompounds, particularly Alpha-Amyrin and Beta-Amyrin, may provide promising lead compounds for developing NDM-1 enzyme inhibitors. Despite this, further in vitro and in vivo validation is required to confirm their therapeutic potential.

Springer Link (Chiba Institute of Technology)
Kasetsart University, Thailand Science Research and Innovation
Openalex Percentile: Top 80%
Andrographolide Research and Applications
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In silico Analysis of Phytocompounds from — Md. Rabiul Alam, Karuppasamy Chellapandi, et al. · Springer Link (Chiba Institute of Technology) (2026) | TGRS Research Map | TGRS