Das Soumyadip, Thansila Parvin N, Maiti Barnali, Padmaja R D, Prathima T S, Balamurali M M, Chanda Kaushik
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, India.
Chemistry Division, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India, 600027.
ChemMedChem. 2024 Dec 2;19(23):e202400365. doi: 10.1002/cmdc.202400365. Epub 2024 Oct 26.
Benzimidazole compounds are known for their broad spectrum therapeutic potentials. A small library of benzimidazole derivatives were designed and synthesized via a one-pot telescopic grinding approach. The ability of these molecules as proposed anticancer agents were evaluated by their potential to bind to two important cancer pathway protein targets, human estrogen receptors and cyclin dependant kinases, 3ERT and 5FGK respectively. Further nucleic acid binding and reactive oxygen species (ROS) scavenging capacity being in the scope for anticancer potential evaluations, the ability of these molecules have been evaluated for the same. Further, to support the experimental and computational results, AI-assisted tools were employed to predict the anticancer activity (PASS) as well as to identify false positives (PAINS). Also, the druggability of the proposed compounds was evaluated by following their pharmacokinetic parameters - ADME.
苯并咪唑化合物以其广泛的治疗潜力而闻名。通过一锅法缩合研磨方法设计并合成了一个小型苯并咪唑衍生物库。这些分子作为潜在抗癌剂的能力通过它们与两种重要癌症通路蛋白靶点结合的潜力来评估,分别是人类雌激素受体和细胞周期蛋白依赖性激酶,即3ERT和5FGK。进一步地,由于核酸结合和活性氧(ROS)清除能力也在抗癌潜力评估范围内,因此对这些分子的这一能力也进行了评估。此外,为了支持实验和计算结果,采用了人工智能辅助工具来预测抗癌活性(PASS)以及识别假阳性(PAINS)。同时,通过跟踪所提出化合物的药代动力学参数——ADME来评估其成药可能性。