Cargando…
Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets
Intrinsically-disordered regions lack a well-defined 3D structure, but play key roles in determining the function of many proteins. Although predictors of disorder have been shown to achieve relatively high rates of correct classification of these segments, improvements over the the years have been...
Autores principales: | Volpato, Viola, Alshomrani, Badr, Pollastri, Gianluca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581330/ https://www.ncbi.nlm.nih.gov/pubmed/26307973 http://dx.doi.org/10.3390/ijms160819868 |
Ejemplares similares
-
SCLpredT: Ab initio and homology-based prediction of subcellular localization by N-to-1 neural networks
por: Adelfio, Alessandro, et al.
Publicado: (2013) -
Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks
por: Walsh, Ian, et al.
Publicado: (2009) -
Accurate prediction of protein enzymatic class by N-to-1 Neural Networks
por: Volpato, Viola, et al.
Publicado: (2013) -
Accurate ab Initio Spin Densities
por: Boguslawski, Katharina, et al.
Publicado: (2012) -
Ab initio and homology based prediction of protein domains by recursive neural networks
por: Walsh, Ian, et al.
Publicado: (2009)