Evidence map›Paper›PMID 39918712›Full record

ArticleMolecular diversity2025

In silico screening of natural compounds as potential inhibitors against SecA protein of Acinetobacter baumannii.

Aishwarya Swain, Smruti Sikha Senapati, Archana Pan

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Article in Molecular diversity, 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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2 · The registry

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3 · Its place in the literature

Who cites it

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.

Aishwarya SwainDepartment of Bioinformatics, School of Life Sciences, Pondicherry University, R.V. Nagar, Kalapet, Puducherry, 605014, India.
Smruti Sikha SenapatiDepartment of Bioinformatics, School of Life Sciences, Pondicherry University, R.V. Nagar, Kalapet, Puducherry, 605014, India.
Archana PanDepartment of Bioinformatics, School of Life Sciences, Pondicherry University, R.V. Nagar, Kalapet, Puducherry, 605014, India. archana@bicpu.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SecA protein is a vital protein in bacterial protein transport systems and has been reported as a promising drug target in various bacteria, including the multidrug-resistant Acinetobacter baumannii for which development of novel drugs are urgently needed. To this end, the present study aims to screen natural compounds as potential inhibitors against SecA protein of this pathogen. Initially, structural modeling of SecA protein was performed to generate multiple models, which were assessed using various criteria. The most reliable model, Rank3 from AlphaFold2, was selected for molecular dynamics (MD) simulation study to obtain an energy-minimized structure. Virtual screening of this energy-minimized structure against the natural compound databases (LOTUS and CMNPD) identified five natural compounds, namely TCC, TMX, DDA, PF, and DOP with docking scores of - 9.801 kcal/mol, - 9.565 kcal/mol, - 9.092 kcal/mol, - 8.862 kcal/mol, and - 8.758 kcal/mol, respectively, which were significantly better than those of known SecA inhibitors CJ-21058 (- 3.92 kcal/mol), Pannomycin (- 3.234 kcal/mol), and Rose Bengal (- 2.608 kcal/mol). MD simulation studies confirmed the stability of protein-ligand complexes for all five compounds. Although DOP demonstrated the strongest binding energy (ΔG = - 46.93 ± 6.11 kcal/mol), it was excluded as it could cause respiratory toxicity and eye irritation. TMX, on the other hand, showed significant binding energy (ΔG = - 38.23 ± 2.97 kcal/mol), complex stability, good bioavailability, and an acceptable safety profile, indicating it as a potential inhibitor against SecA protein. Thus, our study uncovers a natural compound TMX as a potential inhibitor against a specific target protein. This can be further explored for experimental validation to develop novel drugs against the infectious diseases caused by A. baumannii/other related clinically important pathogens.

Indexed as

Acinetobacter baumanniiAdenosine TriphosphatasesAnti-Bacterial AgentsBacterial ProteinsBiological ProductsSEC Translocation ChannelsComputer SimulationDrug Evaluation, PreclinicalMolecular Docking SimulationMolecular Dynamics SimulationSecA ProteinsAdenosine TriphosphatasesAnti-Bacterial AgentsBacterial ProteinsBiological ProductsSecA ProteinsSEC Translocation ChannelsAcinetobacter baumanniiAntimicrobial agentsDrug discoveryMolecular dynamicsSecAVirtual screening

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Registered trials

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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 Socratic graph.