Author

Andi Liu

University of WashingtonORCID 0000-0002-8795-9614Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1

Frequent Co-Authors

Alex KangiD· 2 shared Asim K. BeraiD· 2 shared David A. BakeriD· 2 shared Gaurav BhardwajiD· 2 shared Joseph D. MougousiD· 2 shared Stacey GerbeniD· 2 shared Stephen RettieiD· 2 shared Victor AdebomiiD· 2 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

Alex KangORCID

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2 papers

Recent·Most cited

BiochemistryAngewandte Chemie International EditionPeer-reviewedOct 21, 2025

De novo design of high-affinity miniprotein binders targeting Francisella tularensis virulence factor

Gizem Gokce Alpkilic, Buwei Huang, Andi Liu…·Gaurav Bhardwaj

The paper designs high-affinity miniprotein binders targeting Flpp3, a virulence factor of Francisella tularensis, using physics-based and deep-learning methods, achieving sub-nanomolar affinities.

3 citations

protein structuredeep learning

BiochemistryNature Chemical BiologyPeer-reviewedJun 20, 2025

Accurate de novo design of high-affinity protein binding macrocycles using deep learning

Stephen Rettie, David Juergens, Victor Adebomi…·Gaurav Bhardwaj

This paper introduces RFpeptides, a deep learning framework for designing high-affinity macrocyclic peptides, achieving sub-nanomolar binding affinities and accurate structural predictions.

114 citationstop 1%

protein structuredeep learning