Author

Andrew C.R. Martin

Institute of Structural and Molecular BiologyORCID 0000-0002-2835-2572Unclaimed 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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Assay:protein sequence· 2 Research Focus:variant effect prediction· 2 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Christine Anne OrengoiD· 2 shared Alperen TacirogluiD· 1 shared Jude WellsiD· 1 shared Weining LiniD· 1 shared Yeşim Aydın SoniD· 1 shared Zeyuan WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Christine Anne OrengoORCID

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2 papers

Recent·Most cited

TrioNsight: Building a meta-predictor to evaluate the clinical impact of TrioN-like Dbl-homology domain variants

Alperen Taciroglu, Yeşim Aydın Son, Andrew C.R. Martin, Christine Anne Orengo

TrioNsight is a meta-predictor that evaluates the clinical impact of TrioN-like Dbl-homology domain variants using structural, evolutionary, and physiochemical features.

bioRxiv · Jul 22, 2026 · PreprintBioinformatics

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

Weining Lin, Jude Wells, Zeyuan Wang, Christine Anne Orengo, Andrew C.R. Martin

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

Scientific Reports · Apr 7, 2024Peer-reviewedBioinformatics