Author

Erzsébet Suhajda

Semmelweis UniversityORCID 0000-0001-8159-5007Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Ian SillitoeiD· 2 shared Mihály VáradiiD· 2 shared Sreenath Sasidharan NairiD· 2 shared Tamás HegedűsiD· 2 shared Agata LaydoniD· 1 shared András HatosiD· 1 shared Andrew Mark WaterhouseiD· 1 shared Augustin ŽídekiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Ian SillitoeORCID

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2 papers

Recent·Most cited

Comprehensive collection and prediction of ABC transmembrane protein structures in the AI era of structural biology

Hedvig Tordai, Erzsébet Suhajda, Ian Sillitoe, Sreenath Sasidharan Nair, Mihály Váradi, Tamás Hegedűs

The paper collects and predicts structures of ABC transmembrane proteins using AlphaFold2 and presents them via a web application.

International Journal of Molecular Sciences · Aug 9, 2022Peer-reviewedBioinformatics

3D-Beacons: Decreasing the gap between protein sequences and structures through a federated network of protein structure data resources

Mihály Váradi, Sreenath Sasidharan Nair, Ian Sillitoe, Gerardo Tauriello, Stephen Anyango, Stefan Bienert, Clemente Borges, Mandar Deshpande, Tim Green, Demis Hassabis, András Hatos, Tamás Hegedűs, Maarten L. Hekkelman, Robbie P. Joosten, John Jumper, , Sameer S Velankar

3D-Beacons provides a federated network to unify access to protein structure data from multiple sources, enabling comparative analysis of models.

GigaScience · Jan 1, 2022Peer-reviewedBioinformatics