Author

Matthew Walsh

Johns Hopkins UniversityORCID 0000-0003-1514-7761Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Matthew Walsh1 paper · Foundation Medicine (United States)

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:Bayesian inference· 1 Research Focus:protein design· 1 Assay:proteomics· 1

Frequent Co-Authors

Emily Engelhart· 1 shared Esther Gupta· 1 shared John Spaeth· 1 shared Leslie ShingiD· 1 shared Lin LiiD· 1 shared Rafael JaimesiD· 1 shared Rajmonda S. CaceresiD· 1 shared Randolph M. Lopez· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Emily Engelhart

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedJun 12, 2023

Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries

Lin Li, Esther Gupta, John Spaeth…·Matthew Walsh

This paper uses a Bayesian language model to design high-affinity scFv antibody libraries, achieving 28.8-fold better binding than directed evolution.

96 citationstop 1%

proteomicsBayesian inference

𝕏 PostBluesky