Author

Biaobin Jiang

Tencent (China)ORCID 0000-0002-9995-4925Unclaimed 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:protein structure· 2 Research Focus:protein structure prediction· 2

Frequent Co-Authors

Fandi WuiD· 2 shared Jiaxiang WuiD· 2 shared Peilin ZhaoiD· 2 shared Wei LiuiD· 2 shared Bing He· 1 shared Chenchen QiniD· 1 shared Fan YangiD· 1 shared Houtim LaiiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Fandi WuORCID

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2 papers

Recent·Most cited

Fast and accurate modeling and design of antibody-antigen complex using tFold

Fandi Wu, Yu Shan Zhao, Jiaxiang Wu, Biaobin Jiang, Bing He, Long-Kai Huang, Chenchen Qin, Fan Yang, Ningqiao Huang, Yang Xiao, Rubo Wang, Huaxian Jia, Yu Rong, Yuyi Liu, Houtim Lai, , Jianhua Yao

This paper introduces tFold-Ab and tFold-Ag for fast and accurate prediction of antibody and antibody-antigen complex structures, showing improved speed and performance over AlphaFold-Multimer.

bioRxiv · Feb 5, 2024 · PreprintBioinformatics

tFold-Ab: Fast and Accurate Antibody Structure Prediction without Sequence Homologs

Jiaxiang Wu, Fandi Wu, Biaobin Jiang, Wei Liu, Peilin Zhao

tFold-Ab predicts antibody structures end-to-end without sequence homologs, achieving accuracy for both backbone and side-chain conformations.

bioRxiv · Nov 10, 2022 · PreprintBioinformatics