Integrating AI and Molecular Modeling for Structural Prediction of a Closed-Pore State of the hERG Channel
- DOI
- 10.1021/acs.jcim.6c01219
- Published
- 2026-08-10
- 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.6c01219,
title = {Integrating AI and Molecular Modeling for Structural
Prediction of a Closed-Pore State of the hERG Channel},
author = {Catherine Upex and Thomas Osborne and Giovanni Biglino and Jules C. Hancox and Robin A. Corey},
year = {2026},
journal = {Journal of Chemical Information and Modeling},
doi = {10.1021/acs.jcim.6c01219},
url = {https://doi.org/10.1021/acs.jcim.6c01219}
}RIS
TY - JOUR TI - Integrating AI and Molecular Modeling for Structural Prediction of a Closed-Pore State of the hERG Channel AU - Catherine Upex AU - Thomas Osborne AU - Giovanni Biglino AU - Jules C. Hancox AU - Robin A. Corey PY - 2026 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.6c01219 UR - https://doi.org/10.1021/acs.jcim.6c01219 ER -
APA
Upex, C., Osborne, T., Biglino, G., Hancox, J. C., & Corey, R. A. (2026). Integrating AI and Molecular Modeling for Structural Prediction of a Closed-Pore State of the hERG Channel. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01219
Source records
- crossref · retrieved 2026-09-26T05:23:31.187Z