Protein structure-based in-silico approaches to drug discovery: Guide to COVID-19 therapeutics

IF 8.7 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yash Gupta , Oleksandr V. Savytskyi , Matt Coban , Amoghavarsha Venugopal , Vasili Pleqi , Caleb A. Weber , Rohit Chitale , Ravi Durvasula , Christopher Hopkins , Prakasha Kempaiah , Thomas R. Caulfield
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引用次数: 13

Abstract

With more than 5 million fatalities and close to 300 million reported cases, COVID-19 is the first documented pandemic due to a coronavirus that continues to be a major health challenge. Despite being rapid, uncontrollable, and highly infectious in its spread, it also created incentives for technology development and redefined public health needs and research agendas to fast-track innovations to be translated. Breakthroughs in computational biology peaked during the pandemic with renewed attention to making all cutting-edge technology deliver agents to combat the disease. The demand to develop effective treatments yielded surprising collaborations from previously segregated fields of science and technology. The long-standing pharmaceutical industry's aversion to repurposing existing drugs due to a lack of exponential financial gain was overrun by the health crisis and pressures created by front-line researchers and providers. Effective vaccine development even at an unprecedented pace took more than a year to develop and commence trials. Now the emergence of variants and waning protections during the booster shots is resulting in breakthrough infections that continue to strain health care systems. As of now, every protein of SARS-CoV-2 has been structurally characterized and related host pathways have been extensively mapped out. The research community has addressed the druggability of a multitude of possible targets. This has been made possible due to existing technology for virtual computer-assisted drug development as well as new tools and technologies such as artificial intelligence to deliver new leads. Here in this article, we are discussing advances in the drug discovery field related to target-based drug discovery and exploring the implications of known target-specific agents on COVID-19 therapeutic management. The current scenario calls for more personalized medicine efforts and stratifying patient populations early on for their need for different combinations of prognosis-specific therapeutics. We intend to highlight target hotspots and their potential agents, with the ultimate goal of using rational design of new therapeutics to not only end this pandemic but also uncover a generalizable platform for use in future pandemics.

Abstract Image

Abstract Image

基于蛋白质结构的药物发现方法:新冠肺炎治疗指南
新冠肺炎有超过500万人死亡,近3亿例报告病例,是第一次有记录的由冠状病毒引起的大流行,冠状病毒仍然是一个重大的健康挑战。尽管它的传播速度快、不可控、传染性强,但它也为技术发展创造了激励,并重新定义了公共卫生需求和研究议程,以加快创新的转化。计算生物学的突破在疫情期间达到顶峰,人们重新关注让所有尖端技术提供对抗疾病的试剂。开发有效治疗方法的需求产生了来自以前分离的科学和技术领域的令人惊讶的合作。长期以来,由于缺乏指数级的财务收益,制药行业不愿重新利用现有药物,这被健康危机以及一线研究人员和供应商造成的压力所淹没。即使以前所未有的速度进行有效的疫苗开发,也需要一年多的时间来开发和开始试验。现在,变种的出现和加强针期间保护作用的减弱导致了突破性感染,这继续给医疗保健系统带来压力。截至目前,严重急性呼吸系统综合征冠状病毒2型的每一种蛋白质都已进行了结构表征,相关宿主途径也已被广泛绘制。研究界已经解决了许多可能的靶点的可药用性问题。这之所以成为可能,是因为现有的虚拟计算机辅助药物开发技术,以及提供新线索的人工智能等新工具和技术。在这篇文章中,我们讨论了与靶向药物发现相关的药物发现领域的进展,并探讨了已知靶向特异性药物对新冠肺炎治疗管理的影响。目前的情况需要更个性化的药物工作,并尽早对患者群体进行分层,以满足他们对不同预后特异性治疗组合的需求。我们打算强调目标热点及其潜在制剂,最终目标是使用合理设计的新疗法,不仅结束这场流行病,而且为未来的流行病提供一个可推广的平台。
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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来源期刊
Molecular Aspects of Medicine
Molecular Aspects of Medicine 医学-生化与分子生物学
CiteScore
18.20
自引率
0.00%
发文量
85
审稿时长
55 days
期刊介绍: Molecular Aspects of Medicine is a review journal that serves as an official publication of the International Union of Biochemistry and Molecular Biology. It caters to physicians and biomedical scientists and aims to bridge the gap between these two fields. The journal encourages practicing clinical scientists to contribute by providing extended reviews on the molecular aspects of a specific medical field. These articles are written in a way that appeals to both doctors who may struggle with basic science and basic scientists who may have limited awareness of clinical practice issues. The journal covers a wide range of medical topics to showcase the molecular insights gained from basic science and highlight the challenging problems that medicine presents to the scientific community.
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