Mechanism-Driven Features Enable Asn Deamidation Reactivity Prediction via Machine Learning Methods
- DOI
- 10.1021/acs.jcim.5c01386
- Published
- 2025-09-19
- Container
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.5c01386,
title = {Mechanism-Driven Features Enable Asn Deamidation Reactivity Prediction via Machine Learning Methods},
author = {Maria Laura De Sciscio and Rosa De Troia and Joann Kervadec and Fabio Centola and Simona Saporiti and Muriel Priault and Marco D’Abramo},
year = {2025},
journal = {Journal of Chemical Information and Modeling},
doi = {10.1021/acs.jcim.5c01386},
url = {https://doi.org/10.1021/acs.jcim.5c01386}
}RIS
TY - JOUR TI - Mechanism-Driven Features Enable Asn Deamidation Reactivity Prediction via Machine Learning Methods AU - Maria Laura De Sciscio AU - Rosa De Troia AU - Joann Kervadec AU - Fabio Centola AU - Simona Saporiti AU - Muriel Priault AU - Marco D’Abramo PY - 2025 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.5c01386 UR - https://doi.org/10.1021/acs.jcim.5c01386 ER -
APA
Sciscio, M. L. D., Troia, R. D., Kervadec, J., Centola, F., Saporiti, S., Priault, M., & D’Abramo, M. (2025). Mechanism-Driven Features Enable Asn Deamidation Reactivity Prediction via Machine Learning Methods. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.5c01386
Source records
- crossref · retrieved 2026-09-27T14:34:50.884Z