Author

Philippa M. Saunders

The University of MelbourneORCID 0000-0002-0813-7752Unclaimed 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 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aleix Canalda-BaltronsiD· 1 shared Andrëw G. BrööksiD· 1 shared Jamie RossjohniD· 1 shared Julian P. VivianiD· 1 shared Lachlan CoiniD· 1 shared Martin J. MaiersiD· 1 shared Matthew SilcocksiD· 1 shared Phillip PymmiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Aleix Canalda-BaltronsORCID

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2 papers

Recent·Most cited

Structural variation shapes regulatory and evolutionary diversity at the HLA locus

Aleix Canalda-Baltrons, Matthew Silcocks, Philippa M. Saunders, Sarah F. Jackson, Lachlan Coin, Sarah J. Dunstan

The paper maps structural variation in the HLA locus across diverse populations, showing its role in haplotype diversity and gene expression differences.

bioRxiv · Apr 24, 2026 · PreprintBioinformatics

Prediction of KIR3DL1/Human Leukocyte Antigen binding

Martin J. Maiers, Yoram Louzoun, Phillip Pymm, Julian P. Vivian, Jamie Rossjohn, Andrëw G. Brööks, Philippa M. Saunders

The paper builds a machine learning model to predict KIR3DL1 binding to HLA class I allotypes, showing that binding is influenced by multiple non-additive regions beyond the classical Bw4 motif.

Journal of Biological Chemistry · Jul 2, 2025Peer-reviewedImmunology