UCARE Chem Suite and uCAREChemSuiteCLI: Tools for bacterial resistome prediction.

ABSTRACT: In the era of antibiotic resistance, in silico prediction of bacterial resistome profiles, likely to be associated with inactivation of new potential antibiotics is of utmost importance. Despite this, to the best of our knowledge, no tool exists for such prediction. Therefore, under the rationale that drugs with similar structures have similar resistome profiles, we developed two models, a deterministic model and a stochastic model, to predict the bacterial resistome likely to neutralize uncharacterized but potential chemical structures. The current version of the tool involves the prediction of a resistome for Escherichia coli and Pseudomonas aeruginosa. The deterministic model on omitting two diverse but relatively less characterized drug classes, polyketides and pol

SUBMITTER: Saha SB 

PROVIDER: S-EPMC8278538 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature