Computational repurposing of approved drugs targeting KRAS G12D and EGFR for colorectal cancer therapy
Walaa Ibraheem, Fatima Alsheikh, Abdulrahim A. Alzain, Bhoomendra A. Bhongade, Laila Ejaz, Hamnah Baig, Robert C. Robinson, Mohamed El-Tanani

TL;DR
This study uses computational methods to find approved drugs that can target both KRAS G12D and EGFR in colorectal cancer, identifying Carteolol as a promising candidate.
Contribution
The study introduces a computational approach to identify FDA-approved drugs with dual-targeting potential for KRAS G12D and EGFR in colorectal cancer.
Findings
25 drugs showed better affinity to KRAS G12D than MRTX1133.
Six drugs displayed strong docking scores against EGFR.
Carteolol was identified as the most promising dual-targeting candidate.
Abstract
Colorectal cancer is characterized by various oncogenic mutations, with the KRAS G12D mutation being the most prevalent. The development of MRTX1133 has revitalized the KRAS direct targeting. However, colorectal cancer demonstrated intrinsic resistance to MRTX1133, primarily due to the feedback activation of the EGFR pathway. Combining KRAS G12D and EGFR inhibition has demonstrated improved treatment efficacy, highlighting the potential of dual-targeting approaches in colorectal cancer therapy. This study employs CADD tools to identify approved drugs capable of dual targeting KRAS G12D and EGFR. A library of 3,591 approved drugs was screened against KRAS G12D using high-throughput virtual screening (HTVs), standard precision (SP) and extra precision (XP) Glide docking modules. The top-ranking compounds were then docked into the EGFR binding pocket using XP mode, and docking scores were…
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Taxonomy
TopicsColorectal Cancer Treatments and Studies · Computational Drug Discovery Methods · Protein Kinase Regulation and GTPase Signaling
