findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM
Abstract
Although experimental protein-structure determination usually targets known proteins, chains of unknown sequence are often encountered. They can be purified from natural sources, appear as an unexpected fragment of a well characterized protein or appear as a contaminant. Regardless of the source of the problem, the unknown protein always requires characterization. Here, an automated pipeline is presented for the identification of protein sequences from cryo-EM reconstructions and crystallographic data. The method's application to characterize the crystal structure of an unknown protein purified from a snake venom is presented. It is also shown that the approach can be successfully applied to the identification of protein sequences and validation of sequence assignments in cryo-EM protein structures.
Más información
| Título según WOS: | ID WOS:000742078000014 Not found in local WOS DB |
| Título de la Revista: | IUCRJ |
| Volumen: | 9 |
| Editorial: | INT UNION CRYSTALLOGRAPHY |
| Fecha de publicación: | 2022 |
| Página de inicio: | 86 |
| Página final: | + |
| DOI: |
10.1107/S2052252521011088 |
| Notas: | ISI |