2022
CHAGAS, Márcia et al. An Updated Gene Regulatory Network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851. Memórias do Instituto Oswaldo Cruz (accepted for publication)
BARBOSA, LUIZA HA et al. Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow). Frontiers in Pharmacology (accepted for publication)
DURE, FELICITA et al. CABGen: a web application for the bioinformatic analysis of bacterial genomes. Frontiers in Microbiology (doi)
CHAGAS, Márcia et al. An Updated Gene Regulatory Network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851. BioRXiv (doi)
2021
MEDEIROS FILHO, F. Identification and Characterization of Therapeutic Targets for Pseudomonas aeruginosa Through Analysis of Integrated Models. Ph.D. Thesis (Portuguese version), 2021
MEDEIROS FILHO, F., et al. A Systematic Strategy to Find Potential Therapeutic Targets for Pseudomonas aeruginosa Using Integrated Computational Models. FRONTIERS IN MOLECULAR BIOSCIENCES, 2021 (doi)
PEREIRA, Khalil B. Plataforma de Análise de Bactérias Multirresistentes: Sistemas NETGen e CurSystem. M.Sc. Dissertation. UERJ, 2021 (Portuguese version)
SILVEIRA, Melise C, et al. Genetic Basis of Antimicrobial Resistant Gram-Negative Bacteria Isolated From Bloodstream in Brazil. Frontiers in Medicine (doi)
2020
NASCIMENTO, Ana PB, et al. Characterization of a SPM-1 metallo-beta-lactamase-producing Pseudomonas aeruginosa by comparative genomics and phenotypic analysis. Scientific Reports (doi)
NASCIMENTO, Ana PB, et al. Comparative genome analysis of a multidrug-resistant Pseudomonas aeruginosa sequence type 277 clone that harbours two copies of the blaSPM-1 gene and multiple single nucleotide polymorphisms in other resistance-associated genes. bioRxiv: 693440 (doi).
MATIAS, RIbamar. Data Integration as Support for Whole-Cell Modeling of Pseudomonas aeruginosa CCBH4851. M.Sc. Dissertation. CEFET-RJ, 2020 (Portuguese version)
2019
RIBEIRO, Driele & LIMA JUNIOR, Robson. Implementation of a knowledge base for Pseudomonas aeruginosa CCBH4851. Bachelor Dissertation. Military Institute of Engineering, 2019 (PDF - Portuguese version)
MEDEIROS-FILHO, Fernando et al. Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa. Memórias do Instituto Oswaldo Cruz, 2019 (doi) - Previously published in bioRxiv (doi)
MERIGUETI, Thiago Castanheira et al. FindTargetsWeb: a user-friendly tool for identification of potential therapeutic targets in metabolic networks of bacteria. Frontiers in Genetics, Systems Biology section, 2019 (doi)
2018
RAMOS, Thiago Giannini. Reconstruction of the Metabolic Nework of Pseudomonas Aeruginosa CCBH4851. M.Sc. Dissertation. Oswaldo Cruz Foundation, 2018 (PDF - Portuguese version)
DA SILVA, Fabricio Alves Barbosa et al. Computational Modeling of Multidrug-Resistant Bacteria. In: Theoretical and Applied Aspects of Systems Biology. Springer, Cham, 2018. p. 195-220. (doi)
DOS SANTOS, Marcelo Trindade et al. Modeling Gene Transcriptional Regulation: A Primer. In: Theoretical and Applied Aspects of Systems Biology. Springer, Cham, 2018. p. 27-39. (doi)
DE MENEZES, Marcio Argollo. Metabolic Models: From DNA to Physiology (and Back). In: Theoretical and Applied Aspects of Systems Biology. Springer, Cham, 2018. p. 57-69. (doi)
CHAGAS, Márcia da Silva. Analysis of Virulence Phenotypes Based on Boolean Model's Attractors of the Virulence Gene Regulatory Network of Pseudomonas aeruginosa CCBH4851. Bachelor Dissertation. Federal University of Rio de Janeiro, 2018. (PDF - Portuguese version)
MERIGUETI, Thiago Castanheira. Identification of Therapeutic Targets for the Multidrug-resistant Pseudomonas aeruginosa CCBH4851 Through the Analysis of Metabolic Networks. M.Sc. Dissertation. Oswaldo Cruz Foundation, 2018 (PDF - Portuguese version)