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Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble
Motivation: So far various bioinformatics and machine learning techniques applied for identification of sequence and functionally conserved residues in proteins. Although few computational methods are available for the prediction of structurally conserved residues from protein structure, almost all...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638999/ https://www.ncbi.nlm.nih.gov/pubmed/19038986 http://dx.doi.org/10.1093/bioinformatics/btn618 |