Journal article
Journal of Chemical Information and Modeling, vol. 65, 2025, pp. 589-602
APA
Click to copy
Sohraby, F., Guo, J.-Y., & Nunes-Alves, A. (2025). PathInHydro, a Set of Machine Learning Models to Identify Unbinding Pathways of Gas Molecules in [NiFe] Hydrogenases. Journal of Chemical Information and Modeling, 65, 589–602. https://doi.org/10.1021/acs.jcim.4c01656
Chicago/Turabian
Click to copy
Sohraby, Farzin, Jing-Yao Guo, and Ariane Nunes-Alves. “PathInHydro, a Set of Machine Learning Models to Identify Unbinding Pathways of Gas Molecules in [NiFe] Hydrogenases.” Journal of Chemical Information and Modeling 65 (2025): 589–602.
MLA
Click to copy
Sohraby, Farzin, et al. “PathInHydro, a Set of Machine Learning Models to Identify Unbinding Pathways of Gas Molecules in [NiFe] Hydrogenases.” Journal of Chemical Information and Modeling, vol. 65, 2025, pp. 589–602, doi:10.1021/acs.jcim.4c01656.
BibTeX Click to copy
@article{sohraby2025a,
title = {PathInHydro, a Set of Machine Learning Models to Identify Unbinding Pathways of Gas Molecules in [NiFe] Hydrogenases},
year = {2025},
journal = {Journal of Chemical Information and Modeling},
pages = {589-602},
volume = {65},
doi = {10.1021/acs.jcim.4c01656},
author = {Sohraby, Farzin and Guo, Jing-Yao and Nunes-Alves, Ariane}
}