A geometry-guided computational framework for predicting functional immobilization orientations of plant peroxidases on chemically modified surfaces.
- DOI
- 10.1016/j.jmgm.2026.109574
- Published
- 2026 Sep 11
- Container
- Journal of molecular graphics & modelling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmgm.2026.109574,
title = {A geometry-guided computational framework for predicting functional immobilization orientations of plant peroxidases on chemically modified surfaces.},
author = {Castillo JJ},
year = {2026},
journal = {Journal of molecular graphics \& modelling},
doi = {10.1016/j.jmgm.2026.109574},
url = {https://doi.org/10.1016/j.jmgm.2026.109574}
}RIS
TY - JOUR TI - A geometry-guided computational framework for predicting functional immobilization orientations of plant peroxidases on chemically modified surfaces. AU - Castillo JJ PY - 2026 JO - Journal of molecular graphics & modelling DO - 10.1016/j.jmgm.2026.109574 UR - https://doi.org/10.1016/j.jmgm.2026.109574 ER -
APA
JJ, C. (2026). A geometry-guided computational framework for predicting functional immobilization orientations of plant peroxidases on chemically modified surfaces.. Journal of molecular graphics & modelling. https://doi.org/10.1016/j.jmgm.2026.109574
Source records
- pubmed · retrieved 2026-09-25T20:26:56.174Z