Author

Liya Liu

Zhejiang UniversityORCID 0000-0003-0405-6637Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Organism:bacteria (other)· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Cong FengiD· 2 shared Enyan Liu· 2 shared Haoyu ChaoiD· 2 shared Ming CheniD· 2 shared Sida LiiD· 2 shared Yanshi HuiD· 2 shared Yanyan Zhu· 2 shared Yejun WangiD· 2 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Cong FengORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 2, 2025

HPInet: Interpretable prediction of Host-Pathogen protein-protein Interactions using a transformer-based neural network

Yueming Hu, Liya Liu, Yanyan Zhu…·Ming Chen

HPInet predicts host-pathogen protein-protein interactions using a transformer-based model, achieving high accuracy and identifying key residues from sequence data.

1 citation

humanprotein sequence

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BioinformaticsbioRxivPreprintMar 7, 2025

Improved Prediction of Bacterial Type VI Secretion Effector Proteins Using an Integrated Convolutional Neural Network Model Combining N-terminal Signal Sequences, Evolutionary Information and Pre-Trained Protein Language Features

Yueming Hu, Minqing Yan, Yanyan Zhu…·Ming Chen

This paper introduces T6CNN, a model that improves T6SE prediction by integrating signal sequences, evolutionary data, and pre-trained features, achieving higher accuracy, sensitivity, and specificity than existing tools.

2 citations

bacteria (other)protein sequence

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