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Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information
Self-interactions Proteins (SIPs) is important for their biological activity owing to the inherent interaction amongst their secondary structures or domains. However, due to the limitations of experimental Self-interactions detection, one major challenge in the study of prediction SIPs is how to exp...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561767/ https://www.ncbi.nlm.nih.gov/pubmed/29086182 http://dx.doi.org/10.1186/s13321-017-0233-z |