Detalle de: Zernike3Deep: a semi-classical AI approach for improved heterogeneity analysis
| Title | Zernike3Deep: a semi-classical AI approach for improved heterogeneity analysis |
| Abstract |
CryoEM has proven to be a very versatile tool to understand the macromolecule heterogeneity of a specimen.Classically, the extraction of this information was reduced to a discrete number of classes.However, due to the highly dynamic nature of macromolecules, the previous assumption limits our comprehension of the structural landscape explored by the macromolecule and captured at particle level. |
| Apa Reference | Herreros, D., Lederman, R.R., Krieger, J.M., Sorzano, C.O.S. & Carazo, J.M. (2023). Zernike3Deep: a semi-classical AI approach for improved heterogeneity analysis. Acta Crystallographica Section A Foundations and Advances, 79(a2), C401-C401. 10.1107/s2053273323092148 |
| Doi | 10.1107/s2053273323092148 |
| Publication Date | 22 Aug 2023 |
| Publication Type | Article |
| Researcher | Jose María Salvador Carazo Garcia |
| Ontology | Artificial Intelligence, Cryo-electron microscopy |
| Research Groups | |
| Tools |