DeepMind's AlphaFold and the AlphaFold Protein Structure Database have been major contributors. Initially trained for single ...

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 ...

Intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their ...

UK initiative to harness big biological data sets and look deeper into how the human body works and malfunctions ...

Ribonucleic acid, commonly known as RNA, is involved in many biological functions, and some, including gene silencing, are utilized to cure diseases. RNA has recently gained attention as a promising ...

For example, AlphaFold2 draws on the public MGnify database, which Basecamp claims has issues with incomplete sequences that make it hard to predict the structure of larger proteins. “AlphaFold ...

AlphaFold has transformed this field by providing accurate protein structure predictions with unprecedented speed and precision. In 2020, it solved the “protein folding problem,” a challenge ...

AlphaFold is the computational protein structure prediction method that got the Nobel Prize in chemistry in 2024," said Kihara. "AlphaFold is now routinely used in many biology labs. NuFold would ...

Researchers at Purdue University have developed NuFold, a machine learning tool that predicts 3D RNA structures from sequences. Dubbed the RNA equivalent of AlphaFold, NuFold bridges the gap in ...

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 ...