Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...
Researchers at Rensselaer Polytechnic Institute (RPI) have found that today's leading artificial intelligence tools for ...
Harnessing the power of AI, a research team at the MRC-University of Glasgow Center for Virus Research has launched Viro3D—the most comprehensive database of human and animal virus protein structure ...
Proteins are the molecular workhorses of cells. To understand their functions, scientists soon realized that they had to figure out proteins’ shapes. But solving a protein structure is a challenging ...
A new collaboration between EMBL's European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National University has made millions of AI-predicted protein complex structures ...
Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...
AlphaFold An artificial intelligence system developed by Google DeepMind that predicts three-dimensional protein structures from amino acid sequences and, in AlphaFold 3, models biomolecular complexes ...
Recently, SandboxAQ launched what it claims is the largest publicly available dataset of protein-ligand pairs with annotated experimental binding potency data. According to the company, the ...
Proteins carry out most of the work in the cell, and predicting their structure, function and interactions remains one of the ...
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