Author

Jianwen Chen

Sun Yat-sen UniversityORCID 0000-0001-7999-2070Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:graph neural network· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Shuangjia ZhengiD· 3 shared Yuedong YangiD· 3 shared Chengtao LiiD· 1 shared Hongming CheniD· 1 shared Hui Yu YangiD· 1 shared Huiying ZhaoiD· 1 shared Jiahua RaoiD· 1 shared Jiancong XieiD· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersBioinformatics

Shuangjia ZhengORCID

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3 papers

Recent·Most cited

BioinformaticsIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 9, 2021

DeepANIS: Predicting antibody paratope from concatenated CDR sequences by integrating bidirectional long-short-term memory and transformer neural networks

Pan Zhang, Shuangjia Zheng, Jianwen Chen…·Yuedong Yang

DeepANIS predicts antibody paratopes by integrating BiLSTM and transformer networks on concatenated CDR sequences, outperforming existing methods.

4 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsJournal of CheminformaticsPeer-reviewedFeb 8, 2021

Structure-aware Protein Solubility Prediction From Sequence Through Graph Convolutional Network And Predicted Contact Map

Jianwen Chen, Shuangjia Zheng, Huiying Zhao, Yuedong Yang

The paper develops a structure-aware model using graph convolutional networks and predicted contact maps to predict protein solubility from sequence, showing improved performance over existing methods.

121 citationstop 2%

protein sequencegraph neural network

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BioinformaticsbioRxivPreprintJan 13, 2021

MolRep: A Deep Representation Learning Library for Molecular Property Prediction

Jiahua Rao, Shuangjia Zheng, Ying Song…·Yuedong Yang

The paper develops MolRep, a library unifying 16 molecular representation models, and evaluates them on 12 benchmarks to identify top-performing models for property prediction.

4 citations

deep learningbenchmarking

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