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PROtein Analytics for Kinase Therapeutic Inhibitor Variants (PROAKTIV): A Machine learning approach to predict efficacy of tyrosine kinase inhibitors against mutations in EGFR, ALK and BRAF

2026-02-06

Abstract excerpt

<title>Abstract</title> <p> Introduction: The efficacy of targeted therapies in non-small cell lung cancer (NSCLC) is challenged by acquired resistance, driven by on-target mutations in kinases such as EGFR, ALK, and BRAF. Thus, predicting the functional impact of these mutations on tyrosine kinase inhibitor (TKI) sensitivity is critical for personalized treatment. This study presents a foundational machine lea...

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Literature Corpus work: 065b2bc6-9cfe-5085-aaaa-cbfe6adf4ec2
DOI: 10.21203/rs.3.rs-8730878/v1

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