2 citations · 2 across the 3 of their papers we have counts for
3 papers
q-bio.BM2024
RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
Han Huang, Ziqian Lin, Dongchen He +2
RNA design shows growing applications in synthetic biology and therapeutics, driven by the crucial role of RNA in various biological processes. A fundamental challenge is to find f…
cs.CL2023★ 2 cited
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
Yang Tan, Mingchen Li, Pan Tan +4
Large protein language models are adept at capturing the underlying evolutionary information in primary structures, offering significant practical value for protein engineering. Co…
q-bio.QM2023
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction
Yang Tan, Bingxin Zhou, Yuanhong Jiang +2
Directed evolution plays an indispensable role in protein engineering that revises existing protein sequences to attain new or enhanced functions. Accurately predicting the effects…