Author

Pier Paolo Olimpieri

Sapienza University of RomeORCID 0000-0001-7934-9034Unclaimed 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:protein structure prediction· 2 Approach:deep learning· 1 Approach:graph neural network· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Edoardo MilanettiiD· 2 shared Francesco AmbrosettiiD· 2 shared Alexandre M. J. J. BonviniD· 1 shared Brian Jiménez‐GarcíaiD· 1 shared Gian Gaetano TartagliaiD· 1 shared Lorenzo Di RienzoiD· 1 shared Mattia MiottoiD· 1 shared Paolo MarcatiliiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Edoardo MilanettiORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 13, 2020

proABC-2: PRediction Of AntiBody Contacts v2 and its application to information-driven docking

Francesco Ambrosetti, Tobias Hegelund Olsen, Pier Paolo Olimpieri…·Alexandre M. J. J. Bonvin

proABC-2 predicts antibody-antigen contacts using a convolutional neural network and integrates with HADDOCK for docking.

52 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedDec 7, 2018

Insights on protein thermal stability: a graph representation of molecular interactions

Mattia Miotto, Pier Paolo Olimpieri, Lorenzo Di Rienzo…·Edoardo Milanetti

The paper introduces a graph-theoretical framework to assess protein thermal stability using structural data, achieving 76% accuracy in distinguishing thermostable from mesostable proteins.

108 citations

protein structuregraph neural network

𝕏 PostBluesky