Author

Matthew J. Byrne

Australian Research CouncilORCID 0000-0001-8111-4605Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:fungi (other)· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Aleksandr KovaltsukiD· 1 shared Beate Aftret· 1 shared Bernd H. A. RehmiD· 1 shared Charlotte Mary DeaneiD· 1 shared Claire MarksiD· 1 shared Constantin SchneideriD· 1 shared Daniel Allen NissleyiD· 1 shared Daniel CuttingiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Aleksandr KovaltsukORCID

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3 papers

Recent·Most cited

MicrobiologyJournal of General VirologyPeer-reviewedJan 16, 2026

Atkinsonella hypoxylon virus capsid structure highlights the diversity of capsid proteins among the Partitiviridae

Micol Venturi, Matthew J. Byrne, Beate Aftret…·Frank Sainsbury

The paper determines the capsid structure of Atkinsonella hypoxylon virus using cryo-EM and identifies conserved and divergent features among partitiviruses.

DOI 10.1099/jgv.0.002209

fungi (other)cryo-EM

𝕏 PostBluesky

BioengineeringACS NanoPeer-reviewedFeb 24, 2025

Dynamic assembly of pentamer-based protein nanotubes

L. Koziej, Farzad Fatehi, Marta Aleksejczuk…·Yusuke Azuma

This study demonstrates how a circularly permuted enzyme can assemble into various hollow structures using pentamers, guided by structural and geometrical principles.

10 citations

protein structureexperimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 3, 2024

Computational design of developable therapeutic antibodies: efficient traversal of binder landscapes and rescue of escape mutations

Frédéric A. Dreyer, Constantin Schneider, Aleksandr Kovaltsuk…·Charlotte Mary Deane

This paper presents a computational pipeline for designing therapeutic antibodies using AI and physics-based methods, showing improved binding and developability across SARS-CoV-2 variants.

3 citations

proteomicsmachine learning (classical)

𝕏 PostBluesky