Author

Ulad Litvin

MRC University of Glasgow Centre for Virus ResearchORCID 0009-0008-8351-0191Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Alexander Jack· 1 shared David L. RobertsoniD· 1 shared Davide CazzolaiD· 1 shared Hugh McCaughaniD· 1 shared Iain W. McNaeiD· 1 shared Joe GroveiD· 1 shared Joseph HughesiD· 1 shared Liang‐Cui ChuiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

Alexander Jack

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2 papers

Recent·Most cited

MicrobiologyMolecular Systems BiologyPeer-reviewedSep 16, 2025

Viro3D: a comprehensive database of virus protein structure predictions

Ulad Litvin, Spyros Lytras, Alexander Jack…·Joe Grove

Viro3D predicts and curates protein structures for 4,400 viruses, expanding structural coverage 30-fold and enabling functional and evolutionary analysis of viral proteins.

28 citationstop 1%

humanmouse

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Systems BiologybioRxivPreprintDec 8, 2023

pyRBDome: A comprehensive computational platform for enhancing and interpreting RNA-binding proteome data

Liang‐Cui Chu, Niki Christopoulou, Hugh McCaughan…·Sander Granneman

pyRBDome enhances and interprets RNA-binding proteome data by integrating machine learning predictions and structural data to improve RBS detection and reduce false positives.

DOI 10.1101/2023.12.08.570608

humanproteomics

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