Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches - Portelli, Stephanie; Myung, Yoochan; Furnham, Nicholas; Vedithi, Sundeep Chaitanya; Pires, Douglas E. V.; Ascher, David B. (Scientific reports, 2020)
Keywords: 631/114/2397; 631/114/663; Antitubercular Agents - pharmacology; Bacterial Proteins - chemistry; Bacterial Proteins - genetics; Computer applications; DNA-directed RNA polymerase; Drug Resistance, Bacterial - genetics; Humanities and Social Sciences; Humans; Learning algorithms; Leprosy; Leprosy - drug therapy; Leprosy - microbiology; Machine Learning; Missense mutation; multidisciplinary; Mutation; Mutation, Missense; Mycobacterium leprae - drug effects; Mycobacterium leprae - genetics; Mycobacterium tuberculosis - drug effects; Mycobacterium tuberculosis - genetics; Nucleic acids; Rifampin; Rifampin - pharmacology; RNA polymerase; RpoB protein; Science; Science (multidisciplinary); Staphylococcal Infections - drug therapy; Staphylococcal Infections - microbiology; Staphylococcus aureus - drug effects; Staphylococcus aureus - genetics; Tuberculosis; Tuberculosis - drug therapy; Tuberculosis - microbiology