Author

Carles Corbi‐Verge

University of TorontoORCID 0000-0002-7654-4405Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Philip M. KimiD· 2 shared Albert Perez‐RibaiD· 1 shared Alexey V. StrokachiD· 1 shared David BecerraiD· 1 shared David M. IchikawaiD· 1 shared Igor ŠtagljariD· 1 shared Jamie D. SnideriD· 1 shared Marcus B. NoyesiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Philip M. KimORCID

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2 papers

Recent·Most cited

Fast and flexible design of novel proteins using graph neural networks

Alexey V. Strokach, David Becerra, Carles Corbi‐Verge, Albert Perez‐Riba, Philip M. Kim

A deep graph neural network trained on Sudoku puzzles designs novel protein sequences that adopt predetermined structures.

Cell Systems · Sep 23, 2020Peer-reviewedBioinformatics

A multi-reporter bacterial 2-hybrid assay for the fast, simple, and dynamic assay of PDZ domain - peptide interactions

David M. Ichikawa, Carles Corbi‐Verge, Michael J. Shen, Jamie D. Snider, Victoria Wong, Igor Štagljar, Philip M. Kim, Marcus B. Noyes

The paper introduces a bacterial 2-hybrid assay for screening PDZ domain-peptide interactions with improved sensitivity and scalability.

bioRxiv · Jan 10, 2019 · PreprintSynthetic Biology