Identification of Potential Drugs for Colorectal Cancer Chemoprevention through Computational Analysis

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Abstract

Introduction: Colorectal cancer is one of the common causes of hospitalizations, readmission, and poor quality of life due to disability, pain, and death. Most drugs identified to provide chemoprevention in colorectal cancer, such as NSAIDs, have a high level of toxicity. There is need to find novel drugs targeting colorectal cancer with favorable clinical profiles. Objective: The study aimed to identify possible colorectal cancer prevention drugs by comparing the docking scores (representing potential biologic activity) of Aspirin, Sulindac, and Celecoxib with their structurally similar analogs. Materials and Methods: Ligand-based virtual screening and structure-based virtual screening were done for aspirin, sulindac and celecoxib to identify potential drug-like compounds. Compounds that passed the screening, pharmacokinetic profiling, and toxicity testing were considered possible drugs for colorectal cancer chemoprevention. Results: The study identified 7 drug-like compounds from the ZINC database. ZINC02570895, with a better docking score than celecoxib coupled with favorable toxicity and metabolic profiles, was the most appropriate drug candidate for the inhibition of PDK-1. ZINC22309227, with a better docking score and favorable pharmacokinetic profile than sulindac was the most appropriate compound for further development into a MAP Kinase inhibitor. ZINC39406706, ZINC26469982, ZINC01847506, ZINC3382343, and ZINC01682308 had favorable toxicity profiles compared to aspirin and were most suitable for development of cyclooxygenase inhibitors in colorectal cancer prevention. Conclusion: In-vivo and in-vitro tests are needed to ascertain the biological activity, synthesizability and clinical use of the compounds.
计算分析法鉴定癌症化学预防的潜在药物
简介:结直肠癌癌症是因残疾、疼痛和死亡而住院、再次入院和生活质量差的常见原因之一。大多数被确定为提供癌症化学预防的药物,如非甾体抗炎药,具有高水平的毒性。需要寻找具有良好临床特征的靶向大肠癌癌症的新药。目的:本研究旨在通过比较阿司匹林、舒林达和塞来昔布与其结构相似的类似物的对接得分(代表潜在的生物活性)来确定可能的结直肠癌癌症预防药物。材料和方法:对阿司匹林、舒林达和塞来昔布进行基于配体的虚拟筛选和基于结构的虚拟筛选,以鉴定潜在的类药物化合物。通过筛选、药代动力学分析和毒性测试的化合物被认为是大肠癌化疗预防的可能药物。结果:该研究从ZINC数据库中鉴定出7种类药物化合物。ZINC02570895具有比塞来昔布更好的对接得分,并且具有良好的毒性和代谢特征,是抑制PDK-1的最合适的候选药物。ZINC22309227具有比舒林达更好的对接得分和良好的药代动力学特征,是最适合进一步开发为MAP激酶抑制剂的化合物。与阿司匹林相比,锌39406706、锌26469982、锌01847506、锌3382343和锌01682308具有良好的毒性,最适合开发环加氧酶抑制剂预防结直肠癌癌症。结论:需要进行体内外实验来确定这些化合物的生物学活性、合成能力和临床应用。
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