Target-Based Small Molecule Drug Discovery for Colorectal Cancer: A Review of Molecular Pathways and In Silico Studies

Colorectal cancer is one of the most prevalent cancer types. Although there have been breakthroughs in its treatments, a better understanding of the molecular mechanisms and genetic involvement in colorectal cancer will have a substantial role in producing novel and targeted treatments with better s...

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Bibliographic Details
Main Authors: Said Moshawih, -, Ai Fern Lim, -, Chrismawan Ardianto, -, Khang Wen Goh, -, Nurolaini Kifli, -, Hui Poh Goh, -, Qais Jarrar, -, Long Chiau Ming, -
Format: Article PeerReviewed
Language:English
English
English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2022
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Online Access:https://repository.unair.ac.id/125187/1/Artikel%20C-11.pdf
https://repository.unair.ac.id/125187/2/%28C-11%29%20Kualitas%20Karil.pdf
https://repository.unair.ac.id/125187/3/Similarity%20C-11.pdf
https://repository.unair.ac.id/125187/5/Bukti%20Korespondensi%20C-11.pdf
https://repository.unair.ac.id/125187/
https://www.mdpi.com/2218-273X/12/7/878
https://doi.org/10.3390/biom12070878
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Institution: Universitas Airlangga
Language: English
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Summary:Colorectal cancer is one of the most prevalent cancer types. Although there have been breakthroughs in its treatments, a better understanding of the molecular mechanisms and genetic involvement in colorectal cancer will have a substantial role in producing novel and targeted treatments with better safety profiles. In this review, the main molecular pathways and driver genes that are responsible for initiating and propagating the cascade of signaling molecules reaching carcinoma and the aggressive metastatic stages of colorectal cancer were presented. Protein kinases involved in colorectal cancer, as much as other cancers, have seen much focus and committed efforts due to their crucial role in subsidizing, inhibiting, or changing the disease course. Moreover, notable improvements in colorectal cancer treatments with in silico studies and the enhanced selectivity on specific macromolecular targets were discussed. Besides, the selective multi-target agents have been made easier by employing in silico methods in molecular de novo synthesis or target identification and drug repurposing.