Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein ...

In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, ...

A team led by UT Southwestern Medical Center researchers has uncovered the atomic structure of a protein complex pivotal to ...

Methods such as crystallography, which we use to visualize the atoms of a protein in crystal form, failed to give us a complete picture of RPE's structure with this crucial region missing. We had ...

The prediction of protein structure is difficult for a few reasons. First, there is a huge search space — every possible 3D position for each atom in each amino acid. Second, proteins chemically ...

DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science. The AI lab is offering its database of over 200 million proteins to anyone for free.

Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus, Biological structure and function emerge from scaling ...

This is called the Wobble hypothesis. Until now such synonymous changes in DNA were deemed “silent” mutations that did not affect the structure or function of the resulting protein.

To determine the quantity of the protein chains (Igµ, J, and CD5L), bottom-up proteomics with label-free quantitation was performed. Next, pooled sera were subjected to size-exclusion ...

Today (September 21), the Lasker Foundation announced this year’s award winners. John Jumper, a computational biologist at DeepMind, and Demis Hassabis, cofounder and CEO at DeepMind, were awarded the ...

Artificial Intelligence DeepMind's AI program AlphaFold3 can predict the structure of every protein in the universe — and show how they function News By Nicholas Fearn published May 24, 2024 ...