RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 17

SBSM-Pro: support bio-sequence machine for proteins
Wang, Yizheng; Zhai, Yixiao; Ding, Yijie; Zou, Quan
Sci China Inf Sci, 2024, 67(11): 212106
Keywords: protein classification; machine learning; multiple kernel learning; sequence alignment
Cite as: Wang Y Z, Zhai Y X, Ding Y J, et al. SBSM-Pro: support bio-sequence machine for proteins. Sci China Inf Sci, 2024, 67(11): 212106, doi: 10.1007/s11432-024-4171-9

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

BioKG-CMI: a multi-source feature fusion model based on biological knowledge graph for predicting circRNA-miRNA interactions
Wei, Mengmeng; Wang, Lei; Li, Yang; Li, Zhengwei; Zhao, Bowei; Su, Xiaorui; Wei, Yu; You, Zhuhong
Sci China Inf Sci, 2024, 67(8): 189104
Keywords: circRNA-miRNA interaction; biological knowledge graph; subcellular localization; multi-source feature fusion; natural language processing
Cite as: Wei M M, Wang L, Li Y, et al. BioKG-CMI: a multi-source feature fusion model based on biological knowledge graph for predicting circRNA-miRNA interactions. Sci China Inf Sci, 2024, 67(8): 189104, doi: 10.1007/s11432-024-4098-3

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Integrating sequence and graph information for enhanced drug-target affinity prediction
He, Haohuai; Chen, Guanxing; Chen, Calvin Yu-Chian
Sci China Inf Sci, 2024, 67(2): 129101
Keywords: drug-target affinity; hybrid graph neural network; adaptive features; explainability; catalytic triad
Cite as: He H H, Chen G X, Chen C Y-C. Integrating sequence and graph information for enhanced drug-target affinity prediction. Sci China Inf Sci, 2024, 67(2): 129101, doi: 10.1007/s11432-022-3793-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning
Yan, Ke; Lv, Hongwu; Shao, Jiangyi; Chen, Shutao; Liu, Bin
Sci China Inf Sci, 2024, 67(11): 212105
Keywords: therapeutic peptide prediction; multi-label classification; pretrained protein language model; multi-label supervised contrastive learning
Cite as: Yan K, Lv H W, Shao J Y, et al. TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning. Sci China Inf Sci, 2024, 67(11): 212105, doi: 10.1007/s11432-024-4147-8

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TaxDiff: taxonomic-guided diffusion model for protein sequence generation
Lin Z Y, Li H, Lv L Z H, et al
Sci China Inf Sci, 2025, 68(4): 149101
Keywords: controlled protein sequence generation; protein sequence design; diffusion model; generative models; protein sequence generation
Cite as: Lin Z Y, Li H, Lv L Z H, et al. TaxDiff: taxonomic-guided diffusion model for protein sequence generation. Sci China Inf Sci, 2025, 68(4): 149101, doi: 10.1007/s11432-024-4296-6

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Multiple types of disease-associated RNAs identification for disease prognosis and therapy using heterogeneous graph learning
Zhang, Wenxiang; Wei, Hang; Zhang, Wenjing; Wu, Hao; Liu, Bin
Sci China Inf Sci, 2024, 67(8): 189103
Keywords: heterogeneous graph learning; multiple types of disease-associated RNA identification; disease prognosis and therapy; systematic pathogenesis analysis; hepatocellular carcinoma
Cite as: Zhang W X, Wei H, Zhang W J, et al. Multiple types of disease-associated RNAs identification for disease prognosis and therapy using heterogeneous graph learning. Sci China Inf Sci, 2024, 67(8): 189103, doi: 10.1007/s11432-024-4100-7