The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.
Leveraging AI and quantum calculations, scientists developed a new tool that yielded higher-quality structural information ...
Morning Overview on MSN
AI study of protein nanoribbons points to new design rules
Researchers at Pacific Northwest National Laboratory used artificial intelligence to analyze protein nanoribbons, pointing to ...
Giving Structure to Language: Profluent’s AI Models Move toward Precise and Steerable Protein Design
The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...
Structural biology is shifting from predicting protein shapes to uncovering broader organizational rules; AI tools like AlphaFold have made large-scale protein structure data far ...
Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results