Assessing sequence reversal effects on coiled-coil stability using AI-based structure prediction and enhanced sampling atomistic simulations
- DOI
- 10.1039/d6cp01691j
- Published
- 2026
- Container
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6cp01691j,
title = {Assessing sequence reversal effects on coiled-coil stability using AI-based structure prediction and enhanced sampling atomistic simulations},
author = {Maria Arnittali and Elena Markopoulou and Vagelis Harmandaris and Anastassia N. Rissanou},
year = {2026},
journal = {Physical Chemistry Chemical Physics},
doi = {10.1039/d6cp01691j},
url = {https://doi.org/10.1039/d6cp01691j}
}RIS
TY - JOUR TI - Assessing sequence reversal effects on coiled-coil stability using AI-based structure prediction and enhanced sampling atomistic simulations AU - Maria Arnittali AU - Elena Markopoulou AU - Vagelis Harmandaris AU - Anastassia N. Rissanou PY - 2026 JO - Physical Chemistry Chemical Physics DO - 10.1039/d6cp01691j UR - https://doi.org/10.1039/d6cp01691j ER -
APA
Arnittali, M., Markopoulou, E., Harmandaris, V., & Rissanou, A. N. (2026). Assessing sequence reversal effects on coiled-coil stability using AI-based structure prediction and enhanced sampling atomistic simulations. Physical Chemistry Chemical Physics. https://doi.org/10.1039/d6cp01691j
Source records
- crossref · retrieved 2026-11-10T11:43:00.289Z