Cargando…
Accurate contact predictions using covariation techniques and machine learning
Here we present the results of residue–residue contact predictions achieved in CASP11 by the CONSIP2 server, which is based around our MetaPSICOV contact prediction method. On a set of 40 target domains with a median family size of around 40 effective sequences, our server achieved an average top‐L/...
Autores principales: | Kosciolek, Tomasz, Jones, David T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5042084/ https://www.ncbi.nlm.nih.gov/pubmed/26205532 http://dx.doi.org/10.1002/prot.24863 |
Ejemplares similares
-
MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins
por: Jones, David T., et al.
Publicado: (2015) -
De Novo Structure Prediction of Globular Proteins Aided by Sequence Variation-Derived Contacts
por: Kosciolek, Tomasz, et al.
Publicado: (2014) -
Covariances in computer vision and machine learning
por: HÃ Quang, Minh, et al.
Publicado: (2017) -
Predictions of Backbone Dynamics in Intrinsically Disordered Proteins Using De Novo Fragment-Based Protein Structure Predictions
por: Kosciolek, Tomasz, et al.
Publicado: (2017) -
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator
por: Rawi, Reda, et al.
Publicado: (2016)