Author

Tinglan Wang

University of Chinese Academy of SciencesORCID 0009-0001-3229-6980Unclaimed 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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Assay:protein sequence· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein structure· 1

Frequent Co-Authors

Zhuqing ZhangiD· 2 shared Dongxue Xiu· 1 shared Hao Qu· 1 shared Shaofeng Liao· 1 shared Wei Liu· 1 shared Xiaohui Chai· 1 shared Yangchen Liu· 1 shared Yichi ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Zhuqing ZhangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 25, 2026

AFP-R: An Open Resource Dedicated to Antifreeze Proteins

Wei Liu, Yichi Zhang, Dongxue Xiu…·Zhuqing Zhang

AFP-R provides a database and predictor for antifreeze proteins, offering curated data and a machine-learning model for AFP identification.

DOI 10.64898/2026.08.21.746139

protein sequencemachine learning (classical)

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BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedMay 29, 2026

SSPSPredictor: A Sequence and Structure based Deep Learning Model for Predicting Phase-Separating Proteins

Tinglan Wang, Shaofeng Liao, Yifei Qi, Zhuqing Zhang

SSPSPredictor predicts phase-separating proteins using sequence and structure data, showing higher LLPS propensity in intrinsically disordered proteins and pathogenic variants.

DOI 10.1021/acs.jcim.6c00363

humanprotein sequence

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