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Discovery of novel SOS1 inhibitors using machine learning

Lihui Duo, Yi Chen, Qiupei Liu, Zhangyi Ma, Amin Farjudian, Wan Yong Ho, Sze Shin Low, Jianfeng Ren, Jonathan D. Hirst, Hua Xie, Bencan Tang

2024RSC Medicinal Chemistry10 citationsDOIOpen Access PDF

Abstract

drug-likeness assessment suggested that the compound has moderately favorable drug-like properties and pharmacokinetic characteristics. Altogether, our findings strongly support that, characterized by the distinctive binding modes, the recognition of novel skeletons from the carboxylic acid series could be candidates for developing promising SOS1 inhibitors.

Topics & Concepts

KRASVirtual screeningRobustness (evolution)Random forestComputational biologyCancer researchComputer scienceDrug discoveryChemistryBiologyArtificial intelligenceMachine learningCancerBioinformaticsBiochemistryGeneticsGeneColorectal cancerComputational Drug Discovery MethodsMonoclonal and Polyclonal Antibodies ResearchCytokine Signaling Pathways and Interactions
Discovery of novel SOS1 inhibitors using machine learning | Litcius