Ke Yan

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深入探索 Ke Yan 活跃其中的研究主题。这些主题标签来自该研究者的学术成果，它们共同构成了一个独特的学术指纹.

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42 文章
8 会议稿件
1 章节

DSCA-HLAII: A dual-stream cross-attention model for predicting peptide–HLA class II interaction and presentation
Yan, K., Yu, H., Chen, S., Shaytan, A. K., Liu, B. & Wang, Y., 2 1月 2026, 在: PLoS Computational Biology. e1013836.
科研成果: 期刊稿件 › 文章 › 同行评审

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6 在新选项卡中打开链接引用（Scopus）
HGT-PepPI: A Heterogeneous Graph-Based Framework Leveraging Pragmatic Analysis for Peptide-Protein Interaction Prediction
Yan, K., Liu, T., Zhan, X., Chen, S., Li, M., Hu, T. & Liu, B., 13 4月 2026, 在: Journal of Chemical Information and Modeling. 66, 7, 页码 4232-4244 13 页码
科研成果: 期刊稿件 › 文章 › 同行评审
PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction
Yan, K., Li, M., Chen, S., Liu, T., Hao, J., Liu, B. & Li, Z., 24 3月 2026, 在: PLoS Computational Biology. 22, 3, 页码 1-19 19 页码
科研成果: 期刊稿件 › 文章 › 同行评审

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1 在新选项卡中打开链接引用（Scopus）
Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction
Yan, K., Lu, S., Chen, S., Wang, Y., Shaytan, A. K., Li, Z. & Liu, B., 12月 2026, 在: BMC Biology. 24, 1, 181.
科研成果: 期刊稿件 › 文章 › 同行评审

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Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework
Yan, K., Chen, S., Liu, B. & Wu, H., 1 9月 2025, 在: Bioinformatics. 41, 9, btaf489.
科研成果: 期刊稿件 › 文章 › 同行评审

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14 在新选项卡中打开链接引用（Scopus）

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个人学者

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DSCA-HLAII: A dual-stream cross-attention model for predicting peptide–HLA class II interaction and presentation

HGT-PepPI: A Heterogeneous Graph-Based Framework Leveraging Pragmatic Analysis for Peptide-Protein Interaction Prediction

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction

Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework

颜 珂

个人学者

指纹图谱

科研成果

DSCA-HLAII: A dual-stream cross-attention model for predicting peptide–HLA class II interaction and presentation

HGT-PepPI: A Heterogeneous Graph-Based Framework Leveraging Pragmatic Analysis for Peptide-Protein Interaction Prediction

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction

Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework

颜珂