Yadav Mohini, Khandelwal Ravina, Mudgal Urvy, Srinitha Sivaraj, Khandekar Natasha, Nayarisseri Anuraj, Vuree Sugunakar, Singh Sanjeev Kumar
In silico Research Laboratory, Eminent Biosciences, Indore - 452 010, Madhya Pradesh, India. Email:
Bioinformatics Research Laboratory, LeGene Biosciences Pvt Ltd., Indore-452010, Madhya Pradesh, India.
Asian Pac J Cancer Prev. 2019 Sep 1;20(9):2681-2692. doi: 10.31557/APJCP.2019.20.9.2681.
Vascular endothelial growth factor (VEGF) expression could be found in all glioblastomas. VEGF takes part in numerous changes including the endothelial cell proliferation, the vasculature of solid tumor: its survival invasion, and migration, chemotaxis of bone marrow-derived progenitor cells, vasodilation and vascular permeability. VEGF inhibition can be a smart therapeutic strategy because it is extremely specific and less toxic than cytotoxic therapy. To establish better inhibition of VEGF than the current inhibitors, present study approach is by molecular docking, virtual screening to illustrate the inhibitor with superior affinity against VEGF to have a cautious pharma profile. To retrieve the best established and high-affinity high affinity molecule, Molegro Virtual Docker software was executed. The high-affinity scoring compounds were subjected to further similarity search to retrieve the drugs with similar properties from pubchem database. The completion of virtual screening reveals that PubChem compound SCHEMBL1250485 (PubChem CID: 66965667) has the highest affinity. The study of the drug-likeness was verified using OSIRIS Property Explorer software which supported the virtual screened result. Further ADMET study and drug comparative study strongly prove the superiority of the new established inhibitor with lesser rerank score and toxicity. Overall, the new inhibitor has higher potential to stop the expression of VEGF in glioblastoma and positively can be further analysed through In vitro studies.
在所有胶质母细胞瘤中均可发现血管内皮生长因子(VEGF)的表达。VEGF参与了众多变化,包括内皮细胞增殖、实体瘤的血管生成、其存活、侵袭和迁移、骨髓源性祖细胞的趋化性、血管舒张和血管通透性。VEGF抑制可能是一种明智的治疗策略,因为它具有极高的特异性,且毒性低于细胞毒性疗法。为了建立比当前抑制剂更好的VEGF抑制效果,本研究采用分子对接和虚拟筛选的方法,以阐明对VEGF具有更高亲和力且具有谨慎药学特性的抑制剂。为了检索最成熟且高亲和力的分子,运行了Molegro Virtual Docker软件。对高亲和力评分的化合物进行进一步的相似性搜索,以从pubchem数据库中检索具有相似性质的药物。虚拟筛选的结果显示,PubChem化合物SCHEMBL1250485(PubChem CID:66965667)具有最高的亲和力。使用OSIRIS Property Explorer软件对药物相似性进行了验证,该软件支持虚拟筛选结果。进一步的ADMET研究和药物比较研究有力地证明了新建立的抑制剂具有更低的重新排名分数和毒性的优越性。总体而言,新抑制剂在胶质母细胞瘤中抑制VEGF表达具有更高的潜力,并且肯定可以通过体外研究进一步分析。