Browse AMR Genes
Explore antimicrobial resistance genes from the literature
Explore antimicrobial resistance genes from the literature
deazaflavin synthase
Overview
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.
The study identifies 33 known AMR genes and 24 new genetic signatures of AMR in Mycobacterium tuberculosis using machine learning and structural analysis. It also reveals 97 epistatic interactions across 10 resistance classes and provides mechanistic insights into the selection of these genes.
Selection of Multi-Drug Targets against Drug-Resistant Mycobacterium tuberculosis XDR1219 Using the Hyperbolic Mapping of the Protein Interaction Network.
The study identifies several drug targets (DTs) in Mycobacterium tuberculosis XDR1219 using hyperbolic mapping of the protein interaction network. Key DTs include rpsA, rpsL, embB, embA, fbiC, fbiB, rpoB, dnaK, rpoA, rpoC, rpoZ, ddl, alr, pbpB, rplD, rplC, rmlC, Isr2, tlyA, pknB, dprE1, fas, accD1, accE5, Rv0200, galE3, pks5, msl3, phoP, dacB2, pknI, echA19, ltp3, and Rv3520c, which are involved in various metabolic pathways and are targeted by different antibiotics.
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