Author

Shenghong Fu

Chongqing 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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Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bo XuiD· 2 shared Jiaming HuangiD· 2 shared Maolin DengiD· 2 shared Yu-Jian Kang· 2 shared Han WangiD· 1 shared Liyi LiiD· 1 shared Qingyuan LiiD· 1 shared Wei Wang· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Bo XuORCID

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2 papers

Recent·Most cited

PalmLab: A Comprehensive Computational Platform for Systematic Annotation and Functional Interrogation of Protein Palmitoylation

Shenghong Fu, Wei Wang, Jiaming Huang, Maolin Deng, Qingyuan Li, Zhengqin Rong, Yu-Jian Kang, Bo Xu

PalmLab curates and analyzes palmitoylation data from human and mouse proteomes, providing tools for functional interrogation and cross-cohort comparisons.

bioRxiv · Sep 3, 2026 · PreprintBioinformatics

Deep-Palm：an integrated deep learning framework for structure-aware prediction of protein S-Palmitoylation

Maolin Deng, Jiaming Huang, Han Wang, Shenghong Fu, Liyi Li, Yu-Jian Kang, Bo Xu

Deep-Palm is a deep learning framework that accurately predicts S-palmitoylation sites by integrating sequence, physicochemical, embedding, and structural features, outperforming existing methods.

bioRxiv · May 28, 2026 · PreprintBioinformatics