Author

Maxime Tixhon

Harvard UniversityORCID 0009-0004-4289-6842Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant effect prediction· 2 Approach:graph neural network· 1 Assay:protein structure· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Florent LavaliD· 2 shared Georges CoppiniD· 2 shared Kerstin SpirohniD· 2 shared Marc VidaliD· 2 shared Michael A. CalderwoodiD· 2 shared Predrag Radivojac AiD· 2 shared Ross StewartiD· 2 shared Tong HaoiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Florent LavalORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintFeb 23, 2026

A scalable approach to resolving variants of uncertain significance

Malvika Tejura, Y P Chen, Abbye E. McEwen…·Lea M. Starita

The paper develops a scalable workflow to reclassify variants of uncertain significance using experimental and predictive evidence, resolving 75% of VUS in 40 genes.

4 citations

humanwhole-exome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 12, 2026

Predicting interaction-specific protein-protein interaction perturbations by missense variants with MutPred-PPI

Ross Stewart, Florent Laval, Georges Coppin…·Predrag Radivojac A

MutPred-PPI predicts interaction-specific effects of missense variants using graph attention networks, showing strong performance on both seen and unseen proteins.

1 citation

humanprotein structure

𝕏 PostBluesky