Author

Michael S. Rooney

BioNTech (Germany)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Research Focus:protein structure prediction· 2 Assay:proteomics· 2 Research Focus:differential expression· 1 Assay:protein structure· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

Andrey TovchigrechkoiD· 2 shared Antoine P. DelaunayiD· 2 shared Bachir A. Djermani· 2 shared Karim BeguiriD· 2 shared Liviu CopoiuiD· 2 shared Maren LangiD· 2 shared Nicolás López CarranzaiD· 2 shared Robert McHardy· 2 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Andrey TovchigrechkoORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 21, 2023

LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks

Antoine P. Delaunay, Yunguan Fu, Nikolai Gorbushin…·Nicolás López Carranza

LightMHC predicts full-atom pMHC structures from sequences using a lightweight model with attention mechanisms, achieving comparable performance to AlphaFold 2 and ESMFold with faster speed.

3 citations

protein structuregraph neural network

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 23, 2022

Peptide-MHC Structure Prediction With Mixed Residue and Atom Graph Neural Network

Antoine P. Delaunay, Yunguan Fu, Alberto Bégué…·Uğur Şahin

The paper introduces a graph neural network for peptide-MHC structure prediction, achieving accuracy comparable to AlphaFold 2 with significantly fewer parameters.

5 citations

proteomicsgraph neural network

𝕏 PostBluesky

BioinformaticsGenome MedicinePeer-reviewedAug 13, 2020

Sequence-based prediction of vaccine targets for inducing T cell responses to SARS-CoV-2 utilizing the bioinformatics predictor RECON

Asaf Poran, Dewi Harjanto, Matthew Malloy…·Richard B. Gaynor

This paper uses RECON to predict SARS-CoV-2 T cell epitopes for HLA-I and HLA-II alleles, identifying candidate peptides with broad population coverage.

102 citationstop 2%

virusproteomics

𝕏 PostBluesky