Aishwarya Swain, Smruti Sikha Senapati, Archana Pan
{"title":"In silico screening of natural compounds as potential inhibitors against SecA protein of Acinetobacter baumannii.","authors":"Aishwarya Swain, Smruti Sikha Senapati, Archana Pan","doi":"10.1007/s11030-024-11097-z","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Diversity","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s11030-024-11097-z","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including:
combinatorial chemistry and parallel synthesis;
small molecule libraries;
microwave synthesis;
flow synthesis;
fluorous synthesis;
diversity oriented synthesis (DOS);
nanoreactors;
click chemistry;
multiplex technologies;
fragment- and ligand-based design;
structure/function/SAR;
computational chemistry and molecular design;
chemoinformatics;
screening techniques and screening interfaces;
analytical and purification methods;
robotics, automation and miniaturization;
targeted libraries;
display libraries;
peptides and peptoids;
proteins;
oligonucleotides;
carbohydrates;
natural diversity;
new methods of library formulation and deconvolution;
directed evolution, origin of life and recombination;
search techniques, landscapes, random chemistry and more;