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DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design.

Yang LiuJianhong GanRongqi WangXiaocong YangZhi-Xiong Jim XiaoYang Cao
Published in: Molecules (Basel, Switzerland) (2022)
Since the outbreak of SARS-CoV-2, numerous compounds against COVID-19 have been derived by computer-aided drug design (CADD) studies. They are valuable resources for the development of COVID-19 therapeutics. In this work, we reviewed these studies and analyzed 779 compounds against 16 target proteins from 181 CADD publications. We performed unified docking simulations and neck-to-neck comparison with the solved co-crystal structures. We computed their chemical features and classified these compounds, aiming to provide insights for subsequent drug design. Through detailed analyses, we recommended a batch of compounds that are worth further study. Moreover, we organized all the abundant data and constructed a freely available database, DrugDevCovid19, to facilitate the development of COVID-19 therapeutics.
Keyphrases
  • sars cov
  • coronavirus disease
  • respiratory syndrome coronavirus
  • adverse drug
  • small molecule
  • emergency department
  • wastewater treatment
  • magnetic resonance
  • single cell
  • computed tomography
  • data analysis
  • big data