PseudoResistance DB: A new Database of antibiotics related to Pseudomonas aeruginosa antibiotic resistance

Abstract

Antibiotic resistance represents a significant challenge to global health, compromising the effectiveness of treatments. Pseudomonas aeruginosa, an opportunistic Gram-negative bacterium, is a priority pathogenic agent for research, being categorized as critical level by the World Health Organization (WHO) for the development of new therapeutic strategies. The antibiotics listed were screened through text mining correlated with P. aeruginosa of the Scielo database. The final database contains 98 antibiotics, containing textual information, Protein Data Bank, Partial Charge & Atom Type (PDBQT), Simplified Molecular Input Line Entry System (SMI), IUPAC International Chemical Identifier (INCHI), Molecular Design Limited Molfile (MOL2), Structure-Data File (SDF), Chemical Markup Language (CML), Cartesian Coordinates File (XYZ), Scalable Vector Graphics (SVG), Molecular File (MOL) and Protein Data Bank (PDB), converted using OpenBabel.