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 ...