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Yuheng Shan

3 accepted papers

2026

DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design

AAAI 2026technical

Inverse Protein Folding (IPF) is a critical subtask in the field of protein design, aiming to engineer amino acid sequences capable of folding correctly into a specified three-dimensional (3D) conformation. Although substantial progress has been achieved in recent years, existing methods generally r

Cited by 0SourcePDFScholar
2025

LM2Protein: A Structure-to-Token Protein Large Language Model

EMNLP 2025

Proteins are critical for various molecular functions, relying on their precise tertiary structures. This structure-sequence relationship is complex and degenerate, meaning multiple sequences can fold into a similar structure. The challenges in protein prediction, design, and modification increase w

2025

RBPtool: A Deep Language Model Framework for Multi-Resolution RBP-RNA Binding Prediction and RNA Molecule Design

EMNLP 2025

RNA-binding proteins (RBPs) play essential roles in post-transcriptional gene regulation via recognizing specific RNA molecules as well as modulating several key physiological processes in cellulo, represented by alternative splicing and RNA degradation. Despite extensive research, most existing app

Cited by 0SourcePDFScholar