Artículo
MISTIC2: Comprehensive server to study coevolution in protein families
Fecha de publicación:
07/2018
Editorial:
Oxford University Press
Revista:
Nucleic Acids Research
ISSN:
0305-1048
e-ISSN:
1362-4962
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Correlated mutations between residue pairs in evolutionarily related proteins arise from constraints needed to maintain a functional and stable protein. Identifying these inter-related positions narrows down the search for structurally or functionally important sites. MISTIC is a server designed to assist users to calculate covariation in protein families and provide them with an interactive tool to visualize the results. Here, we present MISTIC2, an update to the previous server, that allows to calculate four covariation methods (MIp, mfDCA, plmDCA and gaussianDCA). The results visualization framework has been reworked for improved performance, compatibility and user experience. It includes a circos representation of the information contained in the alignment, an interactive covariation network, a 3D structure viewer and a sequence logo. Others components provide additional information such as residue annotations, a roc curve for assessing contact prediction, data tables and different ways of filtering the data and exporting figures. Comparison of different methods is easily done and scores combination is also possible. A newly implemented web service allows users to access MISTIC2 programmatically using an API to calculate covariation and retrieve results. MISTIC2 is available at: https://mistic2.leloir.org.ar.
Palabras clave:
Coevolution
,
Protein-protein interactions
,
Covariation
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IIBBA)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Citación
Colell, Eloy A.; Iserte, Javier Alonso; Simonetti, Franco Lucio; Marino Buslje, Cristina; MISTIC2: Comprehensive server to study coevolution in protein families; Oxford University Press; Nucleic Acids Research; 46; W1; 7-2018; 323-328
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