Department of Biotechnology, School of BioSciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Structural and Computational Biology Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, 254 Phayathai Road, Bangkok, 10330, Thailand.
Protein J. 2021 Feb;40(1):41-53. doi: 10.1007/s10930-020-09955-4. Epub 2021 Jan 5.
The impact of autophagy on cancer treatment and its corresponding responsiveness has galvanized the scientific community to develop novel inhibitors for cancer treatment. Importantly, the discovery of inhibitors that targets the early phase of autophagy was identified as a beneficial choice. Despite the number of research in recent years, screening of the DrugBank repository (9591 molecules) for the Vacuolar protein sorting 34 (VPS34) has not been reported earlier. Therefore, the present study was designed to identify potential VPS34 antagonists using integrated pharmacophore strategies. Primarily, an energy-based pharmacophore and receptor cavity-based analysis yielded five (DHRRR) and seven featured (AADDHRR) pharmacophore hypotheses respectively, which were utilized for the database screening process. The glide score, the binding free energy, pharmacokinetics and pharmacodynamics properties were examined to narrow down the screened compounds. This analysis yielded a hit molecule, DB03916 that exhibited a better docking score, higher binding affinity and better drug-like properties in contrast to the reference compound that suffers from a toxicity property. Importantly, the result was validated using a 50 ns molecular dynamics simulation study. Overall, we conclude that the identified hit molecule DB03916 is believed to serve as a prospective antagonist against VPS34 for cancer treatment.
自噬对癌症治疗的影响及其相应的反应性激发了科学界开发新型癌症治疗抑制剂。重要的是,发现靶向自噬早期阶段的抑制剂被认为是一个有益的选择。尽管近年来进行了大量研究,但以前并没有报道过针对液泡蛋白分选 34(VPS34)的 DrugBank 数据库(9591 种分子)的筛选。因此,本研究旨在使用综合药效基团策略来鉴定潜在的 VPS34 拮抗剂。最初,基于能量的药效基团和基于受体腔的分析分别产生了五个(DHRRR)和七个特征(AADDHRR)药效基团假说,这些假说被用于数据库筛选过程。通过检查亲和力、结合自由能、药代动力学和药效学特性来缩小筛选化合物的范围。该分析产生了一个命中分子 DB03916,与遭受毒性特性的参考化合物相比,它具有更好的对接评分、更高的结合亲和力和更好的类药性。重要的是,使用 50ns 分子动力学模拟研究验证了该结果。总体而言,我们得出结论,鉴定出的命中分子 DB03916 有望成为一种针对 VPS34 的癌症治疗的潜在拮抗剂。