Evidence map›Paper›PMID 38504567›Full record

ArticleCurrent computer-aided drug design2025

Identification of Potential Inhibitors of Three NDM Variants of

Nakul Neog, Minakshi Puzari, Pankaj Chetia

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Article in Current computer-aided drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nakul NeogMolecular Plant Taxonomy and Bioinformatics Research Laboratory, Department of Life Sciences, Dibrugarh University, Dibrugarh, Assam, 786004, India.ORCID 0000-0002-8327-663X
Minakshi PuzariMolecular Plant Taxonomy and Bioinformatics Research Laboratory, Department of Life Sciences, Dibrugarh University, Dibrugarh, Assam, 786004, India.ORCID 0000-0002-2705-1348
Pankaj ChetiaMolecular Plant Taxonomy and Bioinformatics Research Laboratory, Department of Life Sciences, Dibrugarh University, Dibrugarh, Assam, 786004, India.ORCID 0000-0003-4202-5794

Funding

Department of Biotechnology, Govt. of India BT/PR 25123/NER/95/1027/2017, BT/PR16669/NER/95/239/2015
6 · The paper itself

Abstract

background

objectivesA computational screening was conducted using 570 natural compounds from Dr. Duke's Phytochemical and Ethnobotanical data to discover promising inhibitors for NDM-6, NDM-9, and NDM-23 of the

methodsUsing homology modeling on the Raptor-X web server, the structures of the three NDM variants were predicted. The structures were validated using various computational tools and MD simulation for 50 ns. Lipinski - Vebers' Filter and ADMET Screening were used to screen 570 compounds, followed by docking in Biovia Discovery Studio 2019 using the CDOCKER module. GROMACS was used to simulate the compounds with the highest scores with the proteins for 50 ns. Using the MM-PBSA method and g_

resultsThe three structures predicted were found stable after the 50 ns MD Simulation run. The compounds Budmunchiamine-A and Rhamnocitrin were found to have the best binding energy towards NDM-6, NDM-9, and NDM-23, respectively. From the results of MD Simulation, MM-PBSA binding free energy calculations, and per-residue decomposition analysis, the Protein-ligand complex of NDM-6 with Budmunchiamine A and NDM-9 with Rhamnocitrin was relatively more stable than the complex of NDM-23 and Rhamnocitrin.

conclusionThe study suggests that Budmunchiamine-A and Rhamnocitrin are potential inhibitors of NDM-6 and NDM-9, respectively, and may pave a path for

Indexed as

Anti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-LactamasesBiological ProductsKlebsiellaHumansMolecular Docking SimulationMolecular Dynamics SimulationAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-LactamasesBiological ProductsCDOCKERKlebsiellaMD simulationMM-PBSANDM variantspotential inhibitors.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.