Prediction of binding hot spot residues by using structural and evolutionary parameters.
AUTOR(ES)
HIGA, R. H.
FONTE
Genetics and Molecular Biology
DATA DE PUBLICAÇÃO
2011
RESUMO
In this work, we present a method for predicting hot spot residues by using a set of structural and evolutionary parameters. Unlike previous studies, we use a set of parameters which do not depend on the structure of the protein in complex, so that the predictor can also be used when the interface region is unknown. Despite the fact that no information concerning proteins in complex is used for prediction, the application of the method to a compiled dataset described in the literature achieved a performance of 60.4%, as measured by F-Measure, corresponding to a recall of 78.1% and a precision of 49.5%. This result is higher than those reported by previous studies using the same data set.
ASSUNTO(S)
estrutura proteica interações proteína-proteína previsão de resíduos hot spots protein structure prediction
ACESSO AO ARTIGO
http://www.alice.cnptia.embrapa.br/handle/doc/875214Documentos Relacionados
- Prediction of binding hot spot residues by using structural and evolutionary parameters
- Prediction of adsorption from multicomponent solutions by activated carbon using single-solute parameters. Part II—Proposed equation
- Prediction of alternative RNA secondary structures based on fluctuating thermodynamic parameters.
- Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis
- Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis