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Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer
Conventional protein-protein docking algorithms usually rely on heavy candidate sampling and re-ranking, but these steps are time-consuming and hinder applications that require high-throughput complex structure prediction, e.g., structure-based virtual screening. Existing deep learning methods for p...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327054/ https://www.ncbi.nlm.nih.gov/pubmed/37425754 http://dx.doi.org/10.1101/2023.06.29.547134 |