In Silico Development of Anticancer Drugs

Vikrant Verma
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Abstract

The development of new drugs has been recognised as a complex, costly, time-consuming, and difficult enterprise. A new medication discovery via typical drugdevelopment pipeline is predicted to take around 12 years and 2.7 billion USD on average. Methods to cut research costs and accelerate the development process of new drugs has become a difficult and pressing topic for the pharmaceutical sector. Computer-aided drug discovery (CADD) has developed as a potent and promising technique for designing drugs that are quicker, cheaper, and more effective. Recently, the fast development of computational techniques for drug discovery, particularly anticancertherapies, has had a substantial and exceptional influence on anticancer medication design, as well as beneficial insights into the field of cancer therapy.This article describes docking of Crizotinib, Sunitinibmalate, and their analogues with the Anaplastic lymphoma kinase receptor.On docking with the Anaplastic lymphoma kinase receptor, Crizotinib and Sunitinibmalate yielded energy values of -9.85 and -8.25, respectively.
抗癌药物的发展
新药的开发一直被认为是一项复杂、昂贵、耗时和困难的事业。通过典型的药物开发管道发现一种新药预计平均需要12年左右的时间和27亿美元。如何降低新药研发成本,加快新药开发进程,已成为制药行业面临的一个难题和紧迫课题。计算机辅助药物发现(CADD)已经发展成为一种强有力的、有前途的技术,用于设计更快、更便宜、更有效的药物。最近,计算技术在药物发现,特别是抗癌治疗方面的快速发展,对抗癌药物设计产生了实质性的和特殊的影响,也对癌症治疗领域产生了有益的见解。本文描述了克唑替尼、舒尼替尼酸酯及其类似物与间变性淋巴瘤激酶受体的对接。与间变性淋巴瘤激酶受体对接时,克唑替尼和舒尼替尼酸盐的能值分别为-9.85和-8.25。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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