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Fast protein structure comparison through effective representation learning with contrastive graph neural networks
Protein structure alignment algorithms are often time-consuming, resulting in challenges for large-scale protein structure similarity-based retrieval. There is an urgent need for more efficient structure comparison approaches as the number of protein structures increases rapidly. In this paper, we p...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982879/ https://www.ncbi.nlm.nih.gov/pubmed/35324898 http://dx.doi.org/10.1371/journal.pcbi.1009986 |