Predicting Anticancer Drug Resistance Mediated by Mutations.

ABSTRACT: Cancer drug resistance presents a challenge for precision medicine. Drug-resistant mutations are always emerging. In this study, we explored the relationship between drug-resistant mutations and drug resistance from the perspective of protein structure. By combining data from previously identified drug-resistant mutations and information of protein structure and function, we used machine learning-based methods to build models to predict cancer drug resistance mutations. The performance of our combined model achieved an accuracy of 86%, a Matthews correlation coefficient score of 0.57, and an F1 score of 0.66. We have constructed a fast, reliable method that predicts and investigates cancer drug resistance in a protein structure. Nonetheless, more information is needed concerning drug resis

SUBMITTER: Lin YF 

PROVIDER: S-EPMC8878306 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature