EvoSeq-ML: Advancing Data-Centric Machine Learning with Evolutionary-Informed Protein Sequence Representation and Generation
- DOI
- 10.1093/protein/gzag033
- Published
- 2026-11-03
- Container
- Protein Engineering, Design and Selection
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/protein/gzag033,
title = {EvoSeq-ML: Advancing Data-Centric Machine Learning with Evolutionary-Informed Protein Sequence Representation and Generation},
author = {Mehrsa Mardikoraem and Nathaniel Pascual and Joelle N Eaves and Shramana Chatterjee and Logan Garland and James VanAntwerp and Anton Mahama and Patrick Finneran and Robert P Hausinger and Daniel R Woldring},
year = {2026},
journal = {Protein Engineering, Design and Selection},
doi = {10.1093/protein/gzag033},
url = {https://doi.org/10.1093/protein/gzag033}
}RIS
TY - JOUR TI - EvoSeq-ML: Advancing Data-Centric Machine Learning with Evolutionary-Informed Protein Sequence Representation and Generation AU - Mehrsa Mardikoraem AU - Nathaniel Pascual AU - Joelle N Eaves AU - Shramana Chatterjee AU - Logan Garland AU - James VanAntwerp AU - Anton Mahama AU - Patrick Finneran AU - Robert P Hausinger AU - Daniel R Woldring PY - 2026 JO - Protein Engineering, Design and Selection DO - 10.1093/protein/gzag033 UR - https://doi.org/10.1093/protein/gzag033 ER -
APA
Mardikoraem, M., Pascual, N., Eaves, J. N., Chatterjee, S., Garland, L., VanAntwerp, J., Mahama, A., Finneran, P., Hausinger, R. P., & Woldring, D. R. (2026). EvoSeq-ML: Advancing Data-Centric Machine Learning with Evolutionary-Informed Protein Sequence Representation and Generation. Protein Engineering, Design and Selection. https://doi.org/10.1093/protein/gzag033
Source records
- crossref · retrieved 2026-11-04T19:31:12.082Z