229 citations · 296 across the 5 of their papers we have counts for
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q-bio.QM2023★ 6 cited
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
Le Zhang, Jiayang Chen, Tao Shen +2
The field of protein folding research has been greatly advanced by deep learning methods, with AlphaFold2 (AF2) demonstrating exceptional performance and atomic-level precision. As…
q-bio.QM2022★ 229 cited
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Tao Shen, Zhihang Hu, Siqi Sun +14
Accurate prediction of RNA three-dimensional (3D) structure remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing…
q-bio.QM2022★ 59 cited
Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
Jiayang Chen, Zhihang Hu, Siqi Sun +9
Non-coding RNA structure and function are essential to understanding various biological processes, such as cell signaling, gene expression, and post-transcriptional regulations. Th…