Author

G. Studer

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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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

J. Durairaj· 2 shared M. Akdel· 2 shared T. Schwede· 2 shared A. Andreeva· 1 shared A. Bateman· 1 shared A. M. Waterhouse· 1 shared C. Isert· 1 shared D. Kovtun· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

J. Durairaj

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Author profile →

2 papers

Recent·Most cited

PLINDER: The protein-ligand interactions dataset and evaluation resource

J. Durairaj, Y. Adeshina, Z. Cao, X. Zhang, V. Oleinikovas, T. Duignan, Z. McClure, X. Robin, G. Studer, D. Kovtun, E. Rossi, G. Zhou, S. Veccham, C. Isert, Y. Peng, , L. Naef

PLINDER provides a large, annotated PLI dataset with diverse annotations and improved evaluation splits to better assess computational methods for drug design.

bioRxiv · Jul 17, 2024 · PreprintBiochemistry

What is hidden in the darkness? Deep-learning assisted large-scale protein family curation uncovers novel protein families and folds

J. Durairaj, A. M. Waterhouse, T. Mets, T. Brodiazhenko, M. Abdullah, G. Studer, M. Akdel, A. Andreeva, A. Bateman, T. Tenson, V. Hauryliuk, T. Schwede, J. Pereira

This work uses deep learning to uncover novel protein families and folds by analyzing sequence and structural data, adding new entries to Pfam and identifying a novel toxin-antitoxin system.

bioRxiv · Mar 14, 2023 · PreprintBioinformatics