Author

T. Mets

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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Microbiology· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Research Focus:protein folding & dynamics· 2 Organism:bacteria (other)· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

T. Brodiazhenko· 4 shared T. Tenson· 4 shared V. Hauryliuk· 4 shared G. C. Atkinson· 3 shared K. Ernits· 3 shared T. Kurata· 3 shared A. Garcia-Pino· 2 shared C. K. Saha· 2 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersMicrobiology

T. Brodiazhenko

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Mechanism of phage sensing and abortion by toxin-antitoxin-chaperone systems

T. Mets, T. Kurata, K. Ernits, M. J. O. Johansson, S. Z. Craig, G. M. Evora, J. A. Buttress, R. Odai, K. Coppieters't Wallant, J. A. Nakamoto, L. Shyrokova, A. A. Egorov, C. R. Doering, T. Brodiazhenko, M. T. Laub, , V. Hauryliuk

This study identifies and characterizes two Escherichia coli TAC systems that mediate antiphage defense by recognizing phage proteins and modifying mRNA to inhibit translation.

bioRxiv · Feb 24, 2024 · PreprintMicrobiology

The structural basis of hyperpromiscuity in a core combinatorial network of Type II toxin-antitoxin and related phage defence systems

K. Ernits, C. K. Saha, T. Brodiazhenko, B. Chouhan, A. Shenoy, J. J. Duque-Pedraza, V. Bojar, J. A. Nakamoto, T. Kurata, A. Egorov, L. Shyrokova, M. J. O. Johansson, T. Mets, A. Rustamova, J. Dzigurski, , G. C. Atkinson

The paper identifies a core combinatorial network of Type II toxin-antitoxin systems, reveals their structural basis for hyperpromiscuity, and validates new TA systems with functional annotations.

bioRxiv · Mar 22, 2023 · PreprintMicrobiology

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

Panacea: a hyperpromiscuous antitoxin protein domain for the neutralisation of diverse toxin domains

T. Kurata, C. K. Saha, J. A. Buttress, T. Mets, T. Brodiazhenko, K. J. Turnbull, O. F. Awoyomi, S. R. A. Oliveira, S. Jimmy, K. Ernits, M. Delannoy, K. Persson, T. Tenson, H. Strahl, V. Hauryliuk, G. C. Atkinson

The paper identifies and validates a hyperpromiscuous antitoxin domain, Panacea, capable of neutralizing diverse toxin domains across microbial and bacteriophage TA systems.

bioRxiv · May 7, 2021Microbiology