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Main Authors:	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
Format:	Recurso digital
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Published:	Zenodo 2025
Subjects:	bioinformatics machine-learning deep-learning protein-structure biotite structural-biology
Online Access:	https://doi.org/10.5281/zenodo.17872151
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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.