Author

Yue Cao

Texas A&M UniversityORCID 0000-0002-1679-0444Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yue Cao4 papers · Fudan University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:Bayesian inference· 1 Approach:deep learning· 1

Frequent Co-Authors

Yang SheniD· 2 shared

Activity by Year

2020-2020 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Theory and ComputationPeer-reviewedJun 19, 2020

Bayesian Active Learning for Optimization and Uncertainty Quantification in Protein Docking

Yue Cao, Yang Shen

This paper introduces a Bayesian Active Learning algorithm for protein docking that provides uncertainty quantification and improves prediction accuracy.

21 citations

protein structureBayesian inference

𝕏 PostBluesky

BioinformaticsProteins Structure Function and BioinformaticsPeer-reviewedMar 7, 2020

Energy-based Graph Convolutional Networks for Scoring Protein Docking Models

Yue Cao, Yang Shen

This paper introduces EGCN, an energy-based graph convolutional network for protein docking that improves model ranking and quality assessment.

50 citations

protein structuredeep learning

𝕏 PostBluesky