Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth

Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth

Abstract Background Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long durational erlotinib treatment of non-small cell lung cancer (NSCLC) patients, leading to drug resistance and disease progression. Identification of new selective EGFR-T790M inhibitors has proven chal...

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Main Authors: Rui Zhou, Ziqian Liu, Tongtong Wu, Xianwei Pan, Tongtong Li, Kaiting Miao, Yuru Li, Xiaohui Hu, Haigang Wu, Andrew M. Hemmings, Beier Jiang, Zhenzhen Zhang, Ning Liu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Cell Communication and Signaling
Subjects:
Non-small cell lung cancer
Epidermal growth factor receptor
T790M mutation
Machine learning-aided drug screening
CDDO-Me
Online Access:https://doi.org/10.1186/s12964-024-01954-7
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https://doi.org/10.1186/s12964-024-01954-7

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