3 papers
cs.LG2026
AVP-Pro: An Adaptive Multi-Modal Fusion and Contrastive Learning Approach for Comprehensive Two-Stage Antiviral Peptide Identification
Xinru Wen, Weizhong Lin, zi liu +1
The accurate identification of antiviral peptides (AVPs) is crucial for novel drug development. However, existing methods still have limitations in capturing complex sequence depen…
cs.LG2025
AVP-Fusion: Adaptive Multi-Modal Fusion and Contrastive Learning for Two-Stage Antiviral Peptide Identification
Xinru Wen, Weizhong Lin, Xuan Xiao
Accurate identification of antiviral peptides (AVPs) is critical for accelerating novel drug development. However, current computational methods struggle to capture intricate seque…
q-bio.BM2023
Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model
Hongtai Jing, Zhengtao Gao, Sheng Xu +7
In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, particularly viral infections. However, their development has been hindered by limi…