• Corpus ID: 246240398

AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor

@article{Ren2022AlphaFoldAA,
  title={AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor},
  author={Fengzhi Ren and Xiao Ding and Mingzhong Zheng and Mikhail B. Korzinkin and Xin Cai and Wei Zhu and Alexey B. Mantsyzov and Alexander Aliper and Vladimir Aladinskiy and Zhongying Cao and Shan Kong and Xi Long and Bo Liu and Yingtao Liu and Vladimir A. Naumov and Anastasia Shneyderman and Ivan V. Ozerov and Ju Wang and Frank Wing Pun and Al{\'a}n Aspuru-Guzik and Michael M. Levitt and Alex Zhavoronkov},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.09647}
}
The AlphaFold computer program predicted protein structures for the whole human genome, which has been considered as a remarkable breakthrough both in artificial intelligence (AI) application and structure biology. Despite the varying confidence level, these predicted structures still could significantly contribute to structure-based drug design of novel targets, especially the ones with no or limited structural information. In this work, we successfully applied AlphaFold in our end-to-end AI… 
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