Nature Computational Science: Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model

Nature Methods: RhoFold+, Accurate RNA 3D structure prediction using a language model-based deep learning approach

Nature Methods: RNA foundation model (together with RhoFold)

ISMB-24/Bioinformatics: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models

Nature Computational Science: RhoDesign is a structure-to-sequence model for RNA design.

Accurate and explainable detection of Cas proteins via robust large language model and attentive network

Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval

large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers

pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"

End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction