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Kate K. Huddleston
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Extending the applicability of the ANI deep learning molecular potential to sulfur and halogens
C Devereux, JS Smith, KK Huddleston, K Barros, R Zubatyuk, O Isayev, ...
Journal of Chemical Theory and Computation 16 (7), 4192-4202, 2020
3012020
ANI-2x Release
K Huddleston, R Zubatyuk, J Smith, A Roitberg, O Isayev, I Pickering, ...
https://doi.org/10.5281/zenodo.10108942, 2023
2*2023
ANI Neural Networks Meet Electrostatics: A ML/MM Implementation in Amber
JA Semelak, P Ignacio, KK Huddleston, J Olmos, JS Grassano, ...
2024
Efficient clustering of large molecular libraries
KL Pérez, V Jung, L Chen, K Huddleston, RA Miranda-Quintana
bioRxiv, 2024
2024
Exploring the atom in a molecule through atomic energies and partial charges using the ANAKIN-ME methodology
K Huddleston
https://ufdc.ufl.edu/UFE0061048/00001/pdf, 2024
2024
COMP6v2 Release
K Huddleston, R Zubatyuk, J Smith, A Roitberg, O Isayev, I Pickering, ...
https://doi.org/10.5281/zenodo.10126157, 2023
2023
AIM by ANI: The Development of an Atoms-in-Molecules Partition through Machine Learning
KK Davis, AE Roitberg, RA Miranda-Quintana
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