A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
A new tool makes it possible to screen millions of tiny protein fragments and select those that can be recognized by the ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
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