Author

Vivian Monzon

European Bioinformatics InstituteORCID 0000-0001-7125-6212Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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Research Focus:benchmarking· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alex G. BatemaniD· 2 shared Typhaine Paysan‐LafosseiD· 1 shared Valerie WoodiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Alex G. BatemanORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of BacteriologyPeer-reviewedMay 24, 2022

Large Scale Discovery of Microbial Fibrillar Adhesins and Identification of Novel Members of Adhesive Domain Families

Vivian Monzon, Alex G. Bateman

The paper develops a random forest method to identify fibrillar adhesins in bacterial proteomes, discovering over 6,500 candidates and 24 novel adhesive domain families.

23 citations

bacteria (other)proteomics

𝕏 PostBluesky

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2022

Reciprocal Best Structure Hits: Using AlphaFold models to discover distant homologues

Vivian Monzon, Typhaine Paysan‐Lafosse, Valerie Wood, Alex G. Bateman

This paper uses AlphaFold 2.0 structure models to detect homologous protein pairs, finding similar results to sequence-based methods and identifying novel homologues.

46 citations

humanmouse

𝕏 PostBluesky