Author

Liz Kogan

University of CambridgeORCID 0000-0001-7688-9625Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Michelle Leiser· 2 shared Mihkel ÖrdiD· 2 shared Pau CreixelliD· 2 shared Amelia BarclayiD· 1 shared Devin A. Bradburn· 1 shared Mardo KõivomägiiD· 1 shared Mingxuan JiangiD· 1 shared Norman E. DaveyiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 27 mutual co-author links

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2 shared papersMolecular Biology

Michelle Leiser

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintMar 20, 2026

HCF1 orchestrates O-GlcNAcylation and affinity-dependent transcription through extended molecular determinants and register-shifted binding

Mihkel Örd, Sydney A. Porto, Amelia Barclay…·Pau Creixell

This study identifies new HCF1 binding partners and molecular determinants, revealing how HCF1 regulates transcription and O-GlcNAcylation through affinity-dependent mechanisms.

DOI 10.64898/2026.03.19.712392

proteomicsstatistical model

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Cancer BiologybioRxivPreprintMar 15, 2026

Uncovering cancer dependencies in peptide-interacting protein pockets

Mihkel Örd, Liz Kogan, Devin A. Bradburn…·Pau Creixell

The paper screens peptide-binding pockets across cancer cell lines to identify therapeutic vulnerabilities and dependencies, finding that peptide inhibition can reveal hidden dependencies and enhance drug efficacy.

1 citation

humanproteomics

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