| _version_ | 1866902195176210432 |
|---|---|
| author | Corley, Nathaniel Mathis, Simon Krishna, Rohith Bauer, Magnus S. Thompson, Tuscan R. Ahern, Woody Kazman, Maxwell W. Brent, Rafael I. Didi, Kieran Kubaney, Andrew McHugh, Liam Nagle, Andrew Favor, Adam Kshirsagar, Meghana Sturmfels, Pascal Li, Yinuo Butcher, John Qiang, Bo Schaaf, Luna L. Mitra, Ria Campbell, Kerrie Zhang, Opa Weissman, Rose Humphreys, Ian R. Cong, Qian Jiang, Hanlun Funk, Jason Sonthalia, Satyaki Lio, Pietro Baker, David DiMaio, Frank |
| author_facet | Corley, Nathaniel Mathis, Simon Krishna, Rohith Bauer, Magnus S. Thompson, Tuscan R. Ahern, Woody Kazman, Maxwell W. Brent, Rafael I. Didi, Kieran Kubaney, Andrew McHugh, Liam Nagle, Andrew Favor, Adam Kshirsagar, Meghana Sturmfels, Pascal Li, Yinuo Butcher, John Qiang, Bo Schaaf, Luna L. Mitra, Ria Campbell, Kerrie Zhang, Opa Weissman, Rose Humphreys, Ian R. Cong, Qian Jiang, Hanlun Funk, Jason Sonthalia, Satyaki Lio, Pietro Baker, David DiMaio, Frank |
| contents | A research-oriented data toolkit for training biomolecular deep-learning foundation models. AtomWorks provides tools for parsing, cleaning, manipulating, and converting biological data (structures, sequences, small molecules) as well as advanced dataset featurization and sampling for deep learning workflows. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17872151 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | atomworks Corley, Nathaniel Mathis, Simon Krishna, Rohith Bauer, Magnus S. Thompson, Tuscan R. Ahern, Woody Kazman, Maxwell W. Brent, Rafael I. Didi, Kieran Kubaney, Andrew McHugh, Liam Nagle, Andrew Favor, Adam Kshirsagar, Meghana Sturmfels, Pascal Li, Yinuo Butcher, John Qiang, Bo Schaaf, Luna L. Mitra, Ria Campbell, Kerrie Zhang, Opa Weissman, Rose Humphreys, Ian R. Cong, Qian Jiang, Hanlun Funk, Jason Sonthalia, Satyaki Lio, Pietro Baker, David DiMaio, Frank bioinformatics machine-learning deep-learning protein-structure biotite structural-biology A research-oriented data toolkit for training biomolecular deep-learning foundation models. AtomWorks provides tools for parsing, cleaning, manipulating, and converting biological data (structures, sequences, small molecules) as well as advanced dataset featurization and sampling for deep learning workflows. |
| title | atomworks |
| topic | bioinformatics machine-learning deep-learning protein-structure biotite structural-biology |
| url | https://doi.org/10.5281/zenodo.17872151 |