Exploring Conformational Transitions of Adenine RNA Dimer via Machine Learning Potentials
- DOI
- 10.1021/acs.jctc.6c01213
- Published
- 2026-08-17
- Container
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jctc.6c01213,
title = {Exploring Conformational
Transitions of Adenine RNA
Dimer via Machine Learning Potentials},
author = {Leonardo Medrano Sandonas and Macarena Tolmos Nehme and Luis Fernando Cofas-Vargas and Gustavo E. Olivos-Ramirez and Gianaurelio Cuniberti and Simón Poblete and Adolfo B. Poma},
year = {2026},
journal = {Journal of Chemical Theory
and Computation},
doi = {10.1021/acs.jctc.6c01213},
url = {https://doi.org/10.1021/acs.jctc.6c01213}
}RIS
TY - JOUR TI - Exploring Conformational Transitions of Adenine RNA Dimer via Machine Learning Potentials AU - Leonardo Medrano Sandonas AU - Macarena Tolmos Nehme AU - Luis Fernando Cofas-Vargas AU - Gustavo E. Olivos-Ramirez AU - Gianaurelio Cuniberti AU - Simón Poblete AU - Adolfo B. Poma PY - 2026 JO - Journal of Chemical Theory and Computation DO - 10.1021/acs.jctc.6c01213 UR - https://doi.org/10.1021/acs.jctc.6c01213 ER -
APA
Sandonas, L. M., Nehme, M. T., Cofas-Vargas, L. F., Olivos-Ramirez, G. E., Cuniberti, G., Poblete, S., & Poma, A. B. (2026). Exploring Conformational Transitions of Adenine RNA Dimer via Machine Learning Potentials. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.6c01213
Source records
- crossref · retrieved 2026-09-25T23:33:51.779Z