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Tudor‐Stefan Cotet

Observed names: Cotet, Tudor-Stefan, Tudor-Stefan Cotet
ORCID: 0000-0002-7701-6225
Observed ORCID: 0000-0002-7701-6225
OpenAlex ID: A5048867307
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
2022 · Rahmad Akbar, Habib Bashour, et al. · mAbs · 114
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Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition
2025 · Tudor-Stefan Cotet, Igor Krawczuk, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 26
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AI.zymes: A Modular Platform for Evolutionary Enzyme Design
2025 · Lucas P. Merlicek, Jannik Neumann, et al. · Angewandte Chemie International Edition · 24
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Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells
2022 · Daniel Neumeier, Alexander Yermanos, et al. · Proceedings of the National Academy of Sciences · 22
Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
2023 · Andreas Agrafiotis, Daniel Neumeier, et al. · iScience · 17
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ePlatypus: an ecosystem for computational analysis of immunogenomics data
2023 · Tudor-Stefan Cotet, Andreas Agrafiotis, et al. · Bioinformatics · 11
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Persistent virus-specific and clonally expanded antibody-secreting cells respond to induced self-antigen in the CNS
2023 · Andreas Agrafiotis, Raphael Dizerens, et al. · Acta Neuropathologica · 8
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AI.zymes – A modular platform for evolutionary enzyme design
2025 · Lucas Primus Merlicek, Jannik Neumann, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 4
Learning immune receptor representations with protein language models
2024 · Dounas, Andreas, Cotet, Tudor-Stefan, et al. · arXiv (Cornell University) · 4
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Delineating inter- and intra-antibody repertoire evolution with AntibodyForests
2025 · Daphne van Ginneken, Valentijn Tromp, et al. · Bioinformatics · 1
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Front Cover: AI.zymes – A Modular Platform for Evolutionary Enzyme Design (Angew. Chem. Int. Ed. 27/2025)
2025 · Lucas P. Merlicek, Jannik Neumann, et al. · Angewandte Chemie International Edition · 1
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What deep learning can and cannot (yet) do for enzyme design
2026 · Judith A. Ahr, Moor M. de Waal, et al. · Current Opinion in Chemical Biology
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Front Cover: AI.zymes – A Modular Platform for Evolutionary Enzyme Design (Angew. Chem. 27/2025)
2025 · Lucas P. Merlicek, Jannik Neumann, et al. · Angewandte Chemie
AI.zymes: eine modulare Software für evolutionäres Enzymdesign
2025 · Lucas P. Merlicek, Jannik Neumann, et al. · Angewandte Chemie
Why risk matters for protein binder design
2025 · Cotet, Tudor-Stefan, Krawczuk, Igor · arXiv (Cornell University)
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ePlatypus: an ecosystem for computational analysis of immunogenomics data
2022 · Victor Kreiner, Andreas Agrafiotis, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Works count: 17
Citation count: 232
H-index: 7
I10-index: 6
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