Author

Joshua Pan

Google DeepMind (United Kingdom)ORCID 0000-0002-7745-1497Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Research Focus:variant effect prediction· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adam GayosoiD· 2 shared Anne MottramiD· 2 shared Clare BycroftiD· 2 shared Eirini ArvanitiiD· 2 shared Guido NovatiiD· 2 shared Jun ChengiD· 2 shared Kyle R. TayloriD· 2 shared Lai Hong WongiD· 2 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adam GayosoORCID

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Author profile →

3 papers

Recent·Most cited

AlphaGenome Atlas: in silico mutagenesis of the entire human genome improves prioritization and interpretation of non-coding variants

Lead authors:, Jun Cheng, Kyle R. Taylor, Lauren Nicolaisen, Joshua Pan, Clare Bycroft, Matteo Perino, Tom Ward, Gareth Hawkes, Laura Covill, Melanie Weilert, Raina W. Thomas, Natasha S. Latysheva, Contributing authors:, Manson Jim, , Žiga Avsec

AlphaGenome Atlas predicts regulatory effects of non-coding variants across the human genome, improving their prioritization and interpretation.

medRxiv · Sep 20, 2026 · PreprintGenetic & Genomic Medicine

AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model

Natasha S. Latysheva, Jun Cheng, Guido Novati, Kyle R. Taylor, Tom Ward, Clare Bycroft, Lauren Nicolaisen, Eirini Arvaniti, Joshua Pan, Raina W. Thomas, Vincent Dutordoir, Matteo Perino, Soham De, Alexander Karollus, Adam Gayoso, , Pushmeet Kohli

AlphaGenome predicts functional genomic measurements from DNA sequences with high resolution and accuracy across multiple modalities, outperforming existing methods in variant effect prediction.

Nature · Jan 28, 2026Peer-reviewedBioinformatics

Dual Proteome-scale Networks Reveal Cell-specific Remodeling of the Human Interactome

Edward L. Huttlin, Raphael J. Bruckner, José Navarrete-Perea, Joe R. Cannon, Kurt Baltier, Fana Gebreab, Melanie P. Gygi, Alexandra M. Thornock, Gabriela Zárraga-Granados, Stanley Tam, John Szpyt, Brandon M. Gassaway, Alexandra Panov, Hannah Parzen, Sipei Fu, , Steven P. Gygi

The paper creates two large-scale cell-line-specific human interactomes using affinity-purification mass spectrometry and identifies shared and cell-specific protein interactions.

Cell · May 1, 2021Peer-reviewedSystems Biology