Author

Zhongshen Li

Shandong UniversityORCID 0000-0001-6524-4418Unclaimed ORCID profile · follow to get notified of new preprints

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 Sirui Liang· 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

BioinformaticsBioinformaticsPeer-reviewedJan 29, 2024

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

Ding Wang, Junru Jin, Zhongshen Li…·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.

13 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 9, 2022

Explainable deep graph learning accurately modeling the peptide secondary structure prediction

Yi Jiang, Ruheng Wang, Jiuxin Feng…·Leyi Wei

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

3 citations

proteomicsdeep learning

𝕏 PostBluesky