Algorithm sheds light on 'disordered' proteins once considered too difficult to study
Intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their ...
News-Medical.Net on MSN6d
New algorithm enhances prediction of disordered protein structures
The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging.
Devdiscourse13h
Why AI researchers aren’t at the forefront of scientific breakthroughs yet
AI is transforming scientific discovery, but AI researchers aren’t at the forefront. What’s stopping them from taking the ...
eLife2d
A delta-tubulin/epsilon-tubulin/Ted protein complex is required for centriole architecture
TEDC1 and TEDC2, functions in generating centriolar triplet microtubules, and that this is crucial for the proper formation of centriolar subdomains and the stability of centrioles throughout the cell ...
Protein project uses AI to boost disease treatment
UK initiative to harness big biological data sets and look deeper into how the human body works and malfunctions ...
pharmaphorum4d
AlphaFold 3 takes structure predictions well beyond proteins
The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...
AZoLifeSciences on MSN5d
Advanced Algorithm Predicts Structures of Disordered Proteins
The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their ...