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KRAS Mutation Inhibitors via ML Docking by hg4250 is a document available to read on EtoBox.
What is KRAS Mutation Inhibitors via ML Docking about?
This research aims to discover selective small-molecule inhibitors for KRAS mutations using a computational framework that integrates machine learning, molecular docking, and dynamics simulations. The study focuses on identifying inhibitors for mutations like G12D, G12V, and G13C, addressing the challenges of targeting KRAS, which has been considered
- Author
- hg4250
- Language
- EN