In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches

• Autori principali: Amar Ajmal (Autore), Muhammad Danial (Autore), Maryam Zulfat (Autore), Muhammad Numan (Autore), Sidra Zakir (Autore), Chandni Hayat (Autore), Khulood Fahad Alabbosh (Autore), Magdi E. A. Zaki (Autore), Arif Ali (Autore), Dongqing Wei (Autore)
• Natura: Libro
• Pubblicazione: MDPI AG, 2024-04-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Single-point mutations in the Kirsten rat sarcoma (KRAS) viral proto-oncogene are the most common cause of human cancer. In humans, oncogenic KRAS mutations are responsible for about 30% of lung, pancreatic, and colon cancers. One of the predominant mutant KRAS G12D variants is responsible for pancr...