Author

Bin Shao

Microsoft Research Asia (China)ORCID 0000-0002-9790-5687Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Bin Shao2 papers · Fujian University of Traditional Chinese Medicine

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein structure prediction· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fusong JuiD· 2 shared Jianwei ZhuiD· 2 shared Tie‐Yan LiuiD· 2 shared Dongbo BuiD· 1 shared Huanhuan XiaiD· 1 shared Liang HeiD· 1 shared Lijun WuiD· 1 shared Lupeng KongiD· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetics

Fusong JuORCID

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3 papers

Recent·Most cited

GeneticsGenome biologyPeer-reviewedNov 23, 2023

CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms

Yongge Li, Fusong Ju, Zhiyuan Chen…·Pan Deng

CREaTor models cis-regulatory patterns using attention mechanisms and RNA-seq/ChIP-seq data, outperforming existing methods in predicting cCRE-gene interactions across cell types.

12 citations

ChIP-seqbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 12, 2023

AI2BMD: efficient characterization of protein dynamics with ab initio accuracy

Tong Wang, Xinheng He, Mingyu Li…·Tie‐Yan Liu

AI2BMD efficiently simulates large biomolecules with ab initio accuracy, outperforming DFT in speed while maintaining chemical accuracy for dynamics and free energy calculations.

2 citations

protein structuremachine learning (classical)

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedMay 5, 2021

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction

Fusong Ju, Jianwei Zhu, Bin Shao…·Dongbo Bu

CopulaNet directly learns residue co-evolution from multiple sequence alignments to improve protein structure prediction accuracy and efficiency.

84 citationstop 2%

protein sequencedeep learning

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