Author

Sirui Liang

Shandong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Junru JiniD· 2 shared Leyi WeiiD· 2 shared Ran SuiD· 2 shared Zhongshen LiiD· 2 shared Anjun MaiD· 1 shared Ding WangiD· 1 shared Jiuxin Feng· 1 shared Mushuang Fan· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Junru JinORCID

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2 papers

Recent·Most cited

StructuralDPPIV: A novel deep learning model based on atom-structure for predicting dipeptidyl peptidase-IV inhibitory peptides

Ding Wang, Junru Jin, Zhongshen Li, Y. Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei

StructuralDPPIV is a deep learning model that predicts DPP-IV inhibitory peptides using molecular graph and sequence features, outperforming existing methods on test datasets.

Bioinformatics · Jan 29, 2024Peer-reviewedBioinformatics

Explainable deep graph learning accurately modeling the peptide secondary structure prediction

Yi Jiang, Ruheng Wang, Jiuxin Feng, Junru Jin, Sirui Liang, Zhongshen Li, Yingying Yu, Anjun Ma, Ran Su, Quan Zou, Qin Ma, Leyi Wei

This paper introduces PHAT, a deep graph learning framework for peptide secondary structure prediction, achieving better accuracy and interpretability for short peptides.

bioRxiv · Jun 9, 2022 · PreprintBioinformatics