Author

Weining Lin

Institute of Structural and Molecular BiologyORCID 0000-0001-8604-7309Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:protein design· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Christine Anne OrengoiD· 2 shared Jude WellsiD· 2 shared Alex Hawkins‐HookeriD· 1 shared Andrew C.R. MartiniD· 1 shared Brooks PaigeiD· 1 shared Burkhard RostiD· 1 shared Christian DallagoiD· 1 shared David M MilleriD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Christine Anne OrengoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 21, 2025

ProFam: Open-Source Protein Family Language Modelling for Fitness Prediction and Design

Jude Wells, Alex Hawkins‐Hooker, Micha Livne…·Michael Heinzinger

ProFam is an open-source protein family language model that improves fitness prediction and design by leveraging evolutionary context through homologous sequences.

2 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedApr 7, 2024

VariPred: Enhancing Pathogenicity Prediction of Missense Variants Using Protein Language Models

Weining Lin, Jude Wells, Zeyuan Wang…·Andrew C.R. Martin

VariPred uses a protein language model to predict missense variant pathogenicity, outperforming existing methods on the ClinVar dataset.

34 citationstop 1%

protein sequencedeep learning

𝕏 PostBluesky