Author

Thomas Castiglione

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· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander GoncearencoiD· 1 shared Céline MarquetiD· 1 shared Daniel KovtuniD· 1 shared David Baugher· 1 shared Dejun LiniD· 1 shared Emanuele RossiiD· 1 shared Emine KüçükbenliiD· 1 shared Gabriele CorsoiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexander GoncearencoORCID

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1 paper

Recent·Most cited

PINDER: The protein interaction dataset and evaluation resource

Daniel Kovtun, Mehmet Akdel, Alexander Goncearenco, Guoqing Zhou, Graham T. Holt, David Baugher, Dejun Lin, Yusuf O. Adeshina, Thomas Castiglione, Xiaoyun Wang, Céline Marquet, Matt McPartlon, Tomas Geffner, Emanuele Rossi, Gabriele Corso, , Luca Naef

PINDER provides a benchmark dataset for evaluating protein-protein interaction docking models, revealing overestimation of performance on leaky test sets and showing improvements with interface-clustered training.

bioRxiv · Jul 17, 2024 · PreprintBioinformatics