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Understanding conserved elements within core perturbomes may reveal strategic vulnerabilities for antimicrobial development. Methods: In this study, we implemented an integrative framework combining functional and comparative genomics, drug\u2013target interactions and molecular docking to prioritize conserved stress-response targets in Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus. Results: A total of 147 genes from previously defined core perturbomes were analyzed through interactome reconstruction and functional enrichment. Interactome and functional analyses revealed significant connectivity and functional clustering, primarily associated with molecule biosynthesis, translation, transcriptional regulation, and energy metabolism. Orthology-based comparative genomics identified six conserved orthogroups shared across at least two species, representing key stress-adaptive nodes including fatty acid synthesis initiation, metabolic stress buffering, transcription termination (Rho), ATP synthesis, peptidoglycan remodeling, and UDP-glucose-mediated envelope biosynthesis. Drug\u2013target interaction analyses suggested that these conserved proteins are modulated by enzymatic inhibitors, metabolite analogs, or active-site competitors. Structural and docking analyses focused on a selected protein, FabF (\u03b2-ketoacyl-ACP synthase II) and confirmed catalytically coherent binding of cerulenin within the active site, with high concordance between experimentally resolved and AlphaFold-predicted structures, supporting the reliability of structure-based prioritization. Conclusions: Overall, the results demonstrate that bacterial stress responses converge on evolutionarily conserved metabolic and regulatory elements essential for homeostasis and tolerance to perturbations, being the first work integrating core perturbome data from different microorganisms. The proposed perturbome-informed framework provides a rational strategy to identify robust, broad-spectrum antimicrobial targets and highlights opportunities for drug repurposing and future experimental validation.<\/jats:p>","DOI":"10.3390\/pathogens15070665","type":"journal-article","created":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T05:48:16Z","timestamp":1782366496000},"page":"665","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["In Silico Perturbome Analysis Reveals Conserved Genes and Drug\u2013Target Interactions in Pseudomonas aeruginosa, Escherichia coli, and Staphylococcus aureus in the Response to Stress"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9764-4192","authenticated-orcid":false,"given":"Jose Arturo","family":"Molina-Mora","sequence":"first","affiliation":[{"name":"Centro de Investigaci\u00f3n en Enfermedades Tropicales, Centro de Investigaci\u00f3n en Hematolog\u00eda y Trastornos Afines & Facultad de Microbiolog\u00eda, Universidad de Costa Rica, San Jose 11501-2060, Costa Rica"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ravi","family":"Kant","sequence":"additional","affiliation":[{"name":"Faculty of Applied Sciences & Biotechnology, Shoolini University, Solan 173229, Himachal Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,6,25]]},"reference":[{"key":"ref_1","unstructured":"DeLong, E.F. (2012). Prokaryotes: Prokaryotic Physiology and Biochemistry, Springer."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"5140","DOI":"10.1038\/s41467-019-13058-9","article-title":"Mapping the perturbome network of cellular perturbations","volume":"10","author":"Caldera","year":"2019","journal-title":"Nat. Commun."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sadeh, S., and Clopath, C. (2020). Theory of Neuronal Perturbome: Linking Connectivity to Coding via Perturbations. bioRxiv.","DOI":"10.1101\/2020.02.20.954222"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1038\/nrmicro2333","article-title":"How antibiotics kill bacteria: From targets to networks","volume":"8","author":"Kohanski","year":"2010","journal-title":"Nat. Rev. Microbiol."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Campos-God\u00ednez, J.F., Villegas-Campos, M., and Molina-Mora, J.A. (2025). Core Perturbomes of Escherichia coli and Staphylococcus aureus Using a Machine Learning Approach. Pathogens, 14.","DOI":"10.3390\/pathogens14080788"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"104411","DOI":"10.1016\/j.biosystems.2021.104411","article-title":"A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach","volume":"205","year":"2021","journal-title":"Biosystems"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"15342","DOI":"10.1038\/s41598-025-91269-5","article-title":"Analysis of stress response in multiple bacterial pathogens using a network biology approach","volume":"15","author":"Sharma","year":"2025","journal-title":"Sci. Rep."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1038\/msb4100135","article-title":"Gyrase inhibitors induce an oxidative damage cellular death pathway in Escherichia coli","volume":"3","author":"Dwyer","year":"2007","journal-title":"Mol. Syst. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.mib.2015.05.008","article-title":"Antimicrobial interactions: Mechanisms and implications for drug discovery and resistance evolution","volume":"27","author":"Bollenbach","year":"2015","journal-title":"Curr. Opin. Microbiol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"D964","DOI":"10.1093\/nar\/gkac1066","article-title":"GPSAdb: A comprehensive web resource for interactive exploration of genetic perturbation RNA-seq datasets","volume":"51","author":"Guo","year":"2023","journal-title":"Nucleic Acids Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4520","DOI":"10.1016\/j.cell.2024.07.035","article-title":"Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas","volume":"187","author":"Rood","year":"2024","journal-title":"Cell"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"D1112","DOI":"10.1093\/nar\/gkae851","article-title":"PerturbAtlas: A comprehensive atlas of public genetic perturbation bulk RNA-seq datasets","volume":"53","author":"Zhang","year":"2025","journal-title":"Nucleic Acids Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1089\/omi.2016.0028","article-title":"A Network Biology Approach to Decipher Stress Response in Bacteria Using Escherichia coli As a Model","volume":"20","author":"Nagar","year":"2016","journal-title":"OMICS A J. Integr. Biol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7101","DOI":"10.1128\/JB.00807-06","article-title":"Defining the Pseudomonas aeruginosa SOS response and its role in the global response to the antibiotic ciprofloxacin","volume":"188","author":"Cirz","year":"2006","journal-title":"J. Bacteriol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1172","DOI":"10.1111\/1574-6976.12083","article-title":"The bacterial translation stress response","volume":"38","author":"Starosta","year":"2014","journal-title":"FEMS Microbiol. Rev."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1038\/s41576-018-0001-6","article-title":"Molecular mechanisms driving transcriptional stress responses","volume":"19","author":"Vihervaara","year":"2018","journal-title":"Nat. Rev. Genet."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1186\/s13059-019-1832-y","article-title":"OrthoFinder: Phylogenetic orthology inference for comparative genomics","volume":"20","author":"Emms","year":"2019","journal-title":"Genome Biol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1038\/nrg3456","article-title":"Functional and evolutionary implications of gene orthology","volume":"14","author":"Koonin","year":"2013","journal-title":"Nat. Rev. Genet."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Zhang, F., and Cheng, W. (2022). The Mechanism of Bacterial Resistance and Potential Bacteriostatic Strategies. Antibiotics, 11.","DOI":"10.3390\/antibiotics11091215"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"13384","DOI":"10.3390\/molecules200713384","article-title":"Molecular Docking and Structure-Based Drug Design Strategies","volume":"20","author":"Ferreira","year":"2015","journal-title":"Molecules"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Hossain, S., and Jannat, A. (2025). In Silico Characterization of a Hypothetical Protein from Pseudomonas aeruginosa LESB58: A Structural and Functional Perspective. bioRxiv.","DOI":"10.1101\/2025.04.06.647430"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Vincent, A.T. (2024). Bacterial hypothetical proteins may be of functional interest. Front. Bacteriol., 3.","DOI":"10.3389\/fbrio.2024.1334712"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"D439","DOI":"10.1093\/nar\/gkab1061","article-title":"AlphaFold Protein Structure Database: Massively expanding the structural coverage of protein-sequence space with high-accuracy models","volume":"50","author":"Varadi","year":"2022","journal-title":"Nucleic Acids Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1038\/s41586-021-03828-1","article-title":"Highly accurate protein structure prediction for the human proteome","volume":"596","author":"Tunyasuvunakool","year":"2021","journal-title":"Nature"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/s41586-021-03819-2","article-title":"Highly accurate protein structure prediction with AlphaFold","volume":"596","author":"Jumper","year":"2021","journal-title":"Nature"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"pbaf015","DOI":"10.1093\/pcmedi\/pbaf015","article-title":"AlphaFold 3: An unprecedent opportunity for fundamental research and drug development","volume":"8","author":"Fang","year":"2025","journal-title":"Precis. Clin. Med."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"13717","DOI":"10.1038\/s41598-020-70581-2","article-title":"Transcriptomic determinants of the response of ST-111 Pseudomonas aeruginosa AG1 to ciprofloxacin identified by a top-down systems biology approach","volume":"10","author":"Shi","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"D607","DOI":"10.1093\/nar\/gky1131","article-title":"STRING v11: Protein\u2013protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets","volume":"47","author":"Szklarczyk","year":"2019","journal-title":"Nucleic Acids Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1016\/j.jmb.2015.11.006","article-title":"BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences","volume":"428","author":"Kanehisa","year":"2016","journal-title":"J. Mol. Biol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"D115","DOI":"10.1093\/nar\/gkh131","article-title":"UniProt: The Universal Protein knowledgebase","volume":"32","author":"Apweiler","year":"2004","journal-title":"Nucleic Acids Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"D1265","DOI":"10.1093\/nar\/gkad976","article-title":"DrugBank 6.0: The DrugBank Knowledgebase for 2024","volume":"52","author":"Knox","year":"2024","journal-title":"Nucleic Acids Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/S0022-2836(05)80360-2","article-title":"Basic local alignment search tool","volume":"215","author":"Altschul","year":"1990","journal-title":"J. Mol. Biol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1002\/jcc.21334","article-title":"AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading","volume":"31","author":"Trott","year":"2010","journal-title":"J. Comput. Chem."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Kc, K., Li, R., Cui, F., and Haake, A.R. (2018). GNE: A deep learning framework for gene network inference by aggregating biological information. BMC Syst. Biol., 13.","DOI":"10.1186\/s12918-019-0694-y"},{"key":"ref_35","first-page":"1","article-title":"Pangenome Analysis of Angiostrongylus spp. of Veterinary and Clinical Importance and Exploratory Remarks on Potential New Drugs in Angiostrongylus costaricensis","volume":"2025","author":"Mora","year":"2026","journal-title":"Phenomics"},{"key":"ref_36","first-page":"643","article-title":"Evolutionary potential, cross-stress behavior and the genetic basis of acquired stress resistance in Escherichia coli","volume":"9","author":"Dragosits","year":"2014","journal-title":"Mol. Syst. Biol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1038\/s41467-017-01405-7","article-title":"The multiple antibiotic resistance operon of enteric bacteria controls DNA repair and outer membrane integrity","volume":"8","author":"Sharma","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2069","DOI":"10.1093\/jac\/dks196","article-title":"Bacterial stress responses as determinants of antimicrobial resistance","volume":"67","author":"Poole","year":"2012","journal-title":"J. Antimicrob. Chemother."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s43657-021-00016-z","article-title":"Molecular Determinants of Antibiotic Resistance in the Costa Rican Pseudomonas aeruginosa AG1 by a Multi-omics Approach: A Review of 10 Years of Study","volume":"1","year":"2021","journal-title":"Phenomics"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"5498","DOI":"10.1128\/JB.181.17.5498-5504.1999","article-title":"Characterization of a Pseudomonas aeruginosa fatty acid biosynthetic gene cluster: Purification of acyl carrier protein (ACP) and malonyl-coenzyme A:ACP transacylase (FabD)","volume":"181","author":"Kutchma","year":"1999","journal-title":"J. Bacteriol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2324","DOI":"10.1111\/febs.12785","article-title":"Structural insights into bacterial resistance to cerulenin","volume":"281","author":"Trajtenberg","year":"2014","journal-title":"FEBS J."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.plipres.2013.02.002","article-title":"Bacterial lipids: Metabolism and membrane homeostasis","volume":"52","author":"Parsons","year":"2013","journal-title":"Prog. Lipid Res."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"450","DOI":"10.2183\/pjab.87.450","article-title":"Adaptive regulation of membrane lipids and fluidity during thermal acclimation in Tetrahymena","volume":"87","author":"Nozawa","year":"2011","journal-title":"Proc. Jpn. Acad. Ser. B"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Acierno, C., Barletta, F., Nevola, R., Rinaldi, L., Sasso, F.C., Adinolfi, L.E., and Caturano, A. (2025). Metabolic Rewiring of Bacterial Pathogens in Response to Antibiotic Pressure\u2014A Molecular Perspective. Int. J. Mol. Sci., 26.","DOI":"10.3390\/ijms26125574"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Burman, J.D., Stevenson, C.E.M., Sawers, R.G., and Lawson, D.M. (2007). The crystal structure of Escherichia coli TdcF, a member of the highly conserved YjgF\/YER057c\/UK114 family. BMC Struct. Biol., 7.","DOI":"10.1186\/1472-6807-7-30"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3325","DOI":"10.1038\/s41467-019-11129-5","article-title":"Glycine, serine and threonine metabolism confounds efficacy of complement-mediated killing","volume":"10","author":"Cheng","year":"2019","journal-title":"Nat. Commun."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.jprot.2018.04.002","article-title":"The depressed central carbon and energy metabolisms is associated to the acquisition of levofloxacin resistance in Vibrio alginolyticus","volume":"181","author":"Cheng","year":"2018","journal-title":"J. Proteom."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"e0015122","DOI":"10.1128\/mmbr.00151-22","article-title":"RpoS and the bacterial general stress response","volume":"88","author":"Bouillet","year":"2024","journal-title":"Microbiol. Mol. Biol. Rev."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1016\/j.jmb.2011.03.036","article-title":"Bacterial Transcription Terminators: The RNA 3\u2032-End Chronicles","volume":"412","author":"Peters","year":"2011","journal-title":"J. Mol. Biol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.molcel.2017.12.021","article-title":"Maintaining a Healthy Proteome during Oxidative Stress","volume":"69","author":"Reichmann","year":"2018","journal-title":"Mol. Cell"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1038\/191144a0","article-title":"Coupling of Phosphorylation to Electron and Hydrogen Transfer by a Chemi-Osmotic type of Mechanism","volume":"191","author":"Mitchell","year":"1961","journal-title":"Nature"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Garde, S., Chodisetti, P.K., and Reddy, M. (2021). Peptidoglycan: Structure, Synthesis, and Regulation. EcoSal Plus, 9.","DOI":"10.1128\/ecosalplus.ESP-0010-2020"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"108818","DOI":"10.1016\/j.isci.2024.108818","article-title":"Integrated control of bacterial growth and stress response by (p)ppGpp in Escherichia coli: A seesaw fashion","volume":"27","author":"Zhu","year":"2024","journal-title":"iScience"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1038\/nrmicro2677","article-title":"From the regulation of peptidoglycan synthesis to bacterial growth and morphology","volume":"10","author":"Typas","year":"2011","journal-title":"Nat. Rev. Microbiol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.2174\/0929867322666150114151248","article-title":"Structure and Function of Prokaryotic UDP-Glucose Pyrophosphorylase, A Drug Target Candidate","volume":"22","author":"Berbis","year":"2015","journal-title":"Curr. Med. Chem."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Decker, D., and Kleczkowski, L.A. (2019). UDP-Sugar Producing Pyrophosphorylases: Distinct and Essential Enzymes with Overlapping Substrate Specificities, Providing de novo Precursors for Glycosylation Reactions. Front. Plant Sci., 9.","DOI":"10.3389\/fpls.2018.01822"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1146\/annurev-biochem-060713-035600","article-title":"Biosynthesis and export of bacterial lipopolysaccharides","volume":"83","author":"Whitfield","year":"2014","journal-title":"Annu. Rev. Biochem."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Bibens, L., Becker, J.P., Dassonville-Klimpt, A., and Sonnet, P. (2023). A Review of Fatty Acid Biosynthesis Enzyme Inhibitors as Promising Antimicrobial Drugs. Pharmaceuticals, 16.","DOI":"10.3390\/ph16030425"}],"container-title":["Pathogens"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-0817\/15\/7\/665\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T05:08:55Z","timestamp":1782536935000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-0817\/15\/7\/665"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,25]]},"references-count":58,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2026,7]]}},"alternative-id":["pathogens15070665"],"URL":"https:\/\/doi.org\/10.3390\/pathogens15070665","relation":{},"ISSN":["2076-0817"],"issn-type":[{"value":"2076-0817","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,25]]}}}