Author

Rui Li

Shenzhen Technology UniversityORCID 0000-0001-7577-8528Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Rui Li17 papers · University of Massachusetts Chan Medical School

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Bingding HuangiD· 2 shared Shangru LiiD· 2 shared Xiangpeng Meng· 2 shared Xin WangiD· 2 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Bingding HuangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 29, 2023

NanoBERTa-ASP: Predicting Nanobody Binding Epitopes Based on a Pretrained RoBERTa Model

Shangru Li, Xiangpeng Meng, Rui Li…·Xin Wang

NanoBERTa-ASP predicts nanobody-antigen binding sites using a BERT-based model trained specifically on nanobody sequences, achieving high precision and AUC.

1 citation

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 27, 2023

Nanotope: A Graph Neural Network-Based Model for Nanobody paratope prediction

Xiangpeng Meng, Shangru Li, Rui Li…·Xin Wang

Nanotope predicts nanobody paratopes using graph neural networks and sequence/structural features, achieving higher accuracy than traditional methods without requiring antigen data.

DOI 10.1101/2023.09.27.559671

protein sequencegraph neural network

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