Abstract: Accurately predicting drug-target binding affinity plays a vital role in accelerating drug discovery. Many computational approaches have been proposed due to costly and time-consuming of wet ...
A new machine learning tool for sifting small molecules in search of good candidates to bind specific proteins requires far less computing power than previous tools. The researchers, who identified ...
Postgraduate Programme in Cellular and Molecular Biology (PPGBCM), Center of Biotechnology, Federal University of Rio Grande do Sul, 90650-001 Porto Alegre, RS, Brazil Postgraduate Programme in ...
The Biden administration is calling on federal agencies to step up their use of artificial intelligence tools, but in a way that keeps the risk of misuse in check. The Office of Management and Budget ...
PepCNN, a deep learning model developed by researchers from Griffith University, RIKEN Center for Integrative Medical Sciences, Rutgers University, and The University of Tokyo, addresses the problem ...
Messenger RNA (mRNA) emerged as a powerful therapeutic tool for treatments in gene therapy, oncology, and infectious diseases, as recently demonstrated by vaccines against Covid-19. mRNA is produced ...
Protein tunnels and channels are attractive targets for drug design. Drug molecules that block the access of substrates or release of products can be efficient modulators of biological activity. Here, ...
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