Computational Molecular Docking and In-Silico, ADMET Prediction Studies of Quinoline Derivatives as EPHB4 Inhibitor

Ganesh S. Mhaske, Sanket R. Thorat, Varun S. Pawar, Ravindra S. Pawar, S. R. Jambhulkar, Omkar A. Ghumre
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Abstract

The creation and development of novel chemical entities is made possible by numerous computer-aided drug design techniques. The ability to visualize the ligand-target interaction and forecast the important holding pocket locations and affinities of ligands to their intended macromolecules is made possible by pharmacophore-based drug design and understanding in-silico methodologies. The aim of the current investigation was to find novel 2-chloroquinoline-3-carboxamide derivatives that target the Ephrin B4 (EPHB4) receptor to treat cancer. Chem Axon Marvin Sketch 5.11.5 was used to create derivatives of 2-chloroquinoline-3-carboxamide. The physicochemical characteristics of compounds as well as their toxicity were predicted using SwissADME& the admet SAR online software’s. Molecular docking technology was used to examine the ligand-receptor interactions of 2-chloroquinoline-3-carboxamide derivatives with the target receptor (PDB- 6FNM) using a variety of software’s, including Autodock1.1.2,Procheck, ProtParam tool, Biovia Discovery Studio Visualizer v20.1.0.19295, MGL Tools 1.5.6, PyMOL, and were all included. All developed compounds were determined to be orally bioavailable, less toxic, and have acceptable pharmacokinetic properties according to in silico studies. In comparison to the traditional medication Erdafitnib, all new compounds displayed higher docking scores. The increase in binding energy and the number of H-bonds created by novel derivatives with interactions at distances below 3.40A provide a helpful starting point for formulating and synthesizing compounds that are most suitable for additional research. The application of the 2- chloroquinoline-3-carboxamide moiety as a potential new cancer treatment candidate is supported by its pharmacokinetics &toxicological profile, which may aid medicinal chemists in conducting more in-depth in vitro, in vivo chemical and pharmacological studies.
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作为 EPHB4 抑制剂的喹啉衍生物的计算分子对接和硅内 ADMET 预测研究
许多计算机辅助药物设计技术使新型化学实体的创造和开发成为可能。基于药理的药物设计和理解力的硅学方法使配体与靶点相互作用的可视化以及预测配体与目标大分子的重要持袋位置和亲和力的能力成为可能。使用 SwissADME 和 admet SAR 在线软件预测了化合物的理化特性及其毒性。利用分子对接技术研究了 2-氯喹啉-3-甲酰胺衍生物与目标受体(PDB- 6FNM)的配体-受体相互作用,使用的软件包括 Autodock1.1.所有开发的化合物都具有口服生物利用度高、毒性低和可接受的药代动力学特性。与传统药物 Erdafitnib 相比,所有新化合物都显示出更高的对接得分。新型衍生物的结合能和相互作用距离低于 3.40A 时产生的 H 键数量的增加,为配制和合成最适合进一步研究的化合物提供了一个有益的起点。2-氯喹啉-3-甲酰胺分子作为一种潜在的癌症治疗新候选化合物的应用得到了其药代动力学和毒理学特征的支持,这可能有助于药物化学家进行更深入的体外、体内化学和药理学研究。
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