Many proteins are capable of spontaneously rearranging themselves within cells to form molecular condensates—membraneless ...

RNA possesses functional significance that extends beyond the transport of genetic information. The functional roles of noncoding RNA can be mediated through their tertiary and secondary structure, ...

Abstract Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in ...

Mechanical model reveals how prions trigger a domino effect to spread misfolded proteins by Nathi Magubane, University of Pennsylvania edited by Stephanie Baum, reviewed by Robert Egan Editors' notes ...

To solve this problem, we propose a graph neural network (GNNGO3D) that combines the three-dimensional structure and functional hierarchy learning. GNNGO3D simultaneously uses three kinds of ...

In this feature, we explore the major tools used for de novo protein design and commercial options for AI-based novel protein creation.

AlphaFold, software developed by Google’s DeepMind AI unit to predict the 3D structure of proteins, has received a significant upgrade.

OpenFold Biotech AI Research Consortium releases SoloSeq and Multimer, an integrated protein Large Language Model with 3D structure generation ...

OpenFold announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large Language Model with its OpenFold structure prediction software, and 2) OpenFold-Multimer software, ...

The tertiary structure of proteins is such that it is suited to the function of the protein. Proteins function in different environments, and thus each protein has different requirements.