Author

Taijiao Jiang

Guangzhou LaboratoryORCID 0000-0002-6071-0122Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Taijiao Jiang2 papers · Guangzhou Laboratory

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Yousong PengiD· 2 shared Aiping WuiD· 1 shared Chuan Wang· 1 shared Congyu LuiD· 1 shared Dayan WangiD· 1 shared Feng YangiD· 1 shared Huiru LiiD· 1 shared Huiting CheniD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Yousong PengORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Deciphering the Antigenic Evolution of Seasonal Influenza A Viruses with PREDAC-Transformer: From Antigenic Clustering to Key Site Identification

Jingze Liu, Jiangyuan Wang, Chuan Wang, Xiao Lan Ding, Wenping Xie, Luyao Qin, Aiping Wu, Jing Meng, Taijiao Jiang

This paper introduces PREDAC-Transformer, a deep learning framework that improves antigenic relationship prediction and identifies key amino acid sites driving influenza antigenic evolution.

bioRxiv · Oct 29, 2025 · PreprintBioinformatics

Risk evaluation of newly emerging flu viruses based on genomic sequences and AI

Huiru Li, Feng Yang, Congyu Lu, Ping Fu, Xinglian Wang, Lei Yang, Yuelong Shu, Taijiao Jiang, Dayan Wang, Yousong Peng

This paper introduces FluRisk, a computational framework using genomic data and AI to assess the risk of emerging influenza viruses, showing improved performance over traditional methods.

bioRxiv · Apr 18, 2025 · PreprintBioinformatics

Classification of multigene families of African swine fever viruses

Zhaozhong Zhu, Huiting Chen, Yang Cao, Taijiao Jiang, Yuanqiang Zou, Yousong Peng

This study classifies MGF proteins of ASFV into 35 groups based on sequence homology and provides a web server for classification.

bioRxiv · Feb 20, 2020 · PreprintBioinformatics