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

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Andrey TovchigrechkoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

Antoine P. Delaunay, Yunguan Fu, Nikolai Gorbushin, Robert McHardy, Bachir A. Djermani, Liviu Copoiu, Michael S. Rooney, Maren Lang, Andrey Tovchigrechko, Uğur Şahin, Karim Beguir, 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.

bioRxiv · Nov 21, 2023 · PreprintBioinformatics

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

Antoine P. Delaunay, Yunguan Fu, Alberto Bégué, Robert McHardy, Bachir A. Djermani, Michael S. Rooney, Andrey Tovchigrechko, Liviu Copoiu, Marcin J. Skwark, Nicolás López Carranza, Maren Lang, Karim Beguir, Uğur Şahin

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

bioRxiv · Nov 23, 2022 · PreprintBioinformatics

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, Christina M. Arieta, Daniel A. Rothenberg, Divya Lenkala, Marit M. van Buuren, Terri A. Addona, Michael S. Rooney, Lakshmi Srinivasan, 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.

Genome Medicine · Aug 13, 2020Peer-reviewedBioinformatics