Nature

Single-sequence protein structure prediction using supervised transformer protein language models

Significant progress has been made in protein structure prediction in recent years. However, it remains challenging for AlphaFold2 and other deep learning-based methods to predict protein structure ...
Nature

Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction

RNA molecules perform a broad range of important cellular functions, ranging from gene transcription, regulation of gene expression and scaffolding, to catalytic activities. The critical functional ...
Phys.org

Managing complexity: Novel protein folding tool vastly simplifies understanding how sequence encodes structure

(Phys.org)—Protein folding is the process by which a polypeptide (a linear organic polymer chain consisting of many amino acid residues, or monomers) transforms from a random coil into the 3D ...