Unveiling key hub genes in E. coli biofilm formation: An in silico approach integrating differential gene expression, biosurfactant targeting, MD simulation and MM-PBSA free energy calculations
{"title":"Unveiling key hub genes in E. coli biofilm formation: An in silico approach integrating differential gene expression, biosurfactant targeting, MD simulation and MM-PBSA free energy calculations","authors":"Rohit Pritam Das, Arun Kumar Pradhan","doi":"10.1016/j.compbiolchem.2025.108596","DOIUrl":null,"url":null,"abstract":"<div><div>Biofilm formation by <em>Escherichia coli</em> is a critical factor in antibiotic resistance and persistent infections, posing significant challenges to public health. In this study, we evaluated the biofilm inhibition potential of two novel biosurfactants, BG2A and BG2B, targeting differentially expressed genes (DEGs) during the maturation stages of biofilm development. Differential gene expression (DGE) analysis revealed significant transcriptional changes in biofilm-associated pathways, with pathway enrichment and Gene Ontology (GO) analyses identifying key biological processes. Protein-protein interaction (PPi) network analysis and hub gene identification pinpointed critical regulatory nodes, such as <em>ibpA</em>, <em>ybeD</em>, and <em>ycjF</em>, which play pivotal roles in biofilm maturation and stability. Molecular docking studies demonstrated strong binding affinities, due to its higher binding energy and stable hydrogen bonding networks. These findings were further corroborated by molecular dynamics (MD) simulations, which demonstrated complex stability through low RMSD and RMSF values. Binding free energy calculations using the Molecular Mechanics Poisson–Boltzmann Surface Area (MM-PBSA) approach highlighted substantial van der Waals and electrostatic contributions to binding. Additionally, principal component analysis (PCA) and free energy landscape (FEL) analyses provided insights into the conformational dynamics of the ligand–protein complexes. Taken together, this in silico study suggests that BG2A and BG2B hold promise as potential inhibitors of <em>E. coli</em> biofilm maturation. However, further in vitro and in vivo studies are necessary to experimentally validate their therapeutic potential and establish their efficacy in clinical settings.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"119 ","pages":"Article 108596"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125002579","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Biofilm formation by Escherichia coli is a critical factor in antibiotic resistance and persistent infections, posing significant challenges to public health. In this study, we evaluated the biofilm inhibition potential of two novel biosurfactants, BG2A and BG2B, targeting differentially expressed genes (DEGs) during the maturation stages of biofilm development. Differential gene expression (DGE) analysis revealed significant transcriptional changes in biofilm-associated pathways, with pathway enrichment and Gene Ontology (GO) analyses identifying key biological processes. Protein-protein interaction (PPi) network analysis and hub gene identification pinpointed critical regulatory nodes, such as ibpA, ybeD, and ycjF, which play pivotal roles in biofilm maturation and stability. Molecular docking studies demonstrated strong binding affinities, due to its higher binding energy and stable hydrogen bonding networks. These findings were further corroborated by molecular dynamics (MD) simulations, which demonstrated complex stability through low RMSD and RMSF values. Binding free energy calculations using the Molecular Mechanics Poisson–Boltzmann Surface Area (MM-PBSA) approach highlighted substantial van der Waals and electrostatic contributions to binding. Additionally, principal component analysis (PCA) and free energy landscape (FEL) analyses provided insights into the conformational dynamics of the ligand–protein complexes. Taken together, this in silico study suggests that BG2A and BG2B hold promise as potential inhibitors of E. coli biofilm maturation. However, further in vitro and in vivo studies are necessary to experimentally validate their therapeutic potential and establish their efficacy in clinical settings.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.