关键词: SARS-CoV-2 drug research molecular databases polyproteins

Mesh : Humans COVID-19 Polyproteins / metabolism Cysteine Endopeptidases / metabolism SARS-CoV-2 / metabolism Drug Discovery Molecular Docking Simulation

来  源:   DOI:10.1093/bib/bbae012   PDF(Pubmed)

Abstract:
This opinion article addresses a major issue in molecular biology and drug discovery by highlighting the complications that arise from combining polyproteins and their functional products within the same database entry. This problem, exemplified by the discovery of novel inhibitors for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease, has an influence on our ability to retrieve precise data and hinders the development of targeted therapies. It also emphasizes the need for improved database practices and underscores their significance in advancing scientific research. Furthermore, it emphasizes the need of learning from the SARS-CoV-2 pandemic in order to improve global preparedness for future health crises.
摘要:
本文通过强调在同一数据库条目中组合多蛋白及其功能产物而引起的并发症,解决了分子生物学和药物发现中的一个主要问题。这个问题,例如,发现了严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主要蛋白酶的新型抑制剂,影响我们检索精确数据的能力,并阻碍靶向治疗的发展。它还强调需要改进数据库实践,并强调其在推进科学研究中的重要性。此外,它强调需要从SARS-CoV-2大流行中学习,以改善全球对未来健康危机的准备。
公众号