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 | 301 | 2020 |
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 | | |