MRFy: Remote Homology Detection for Beta-Structural Proteins Using Markov Random Fields and Stochastic Search.
IEEE/ACM Trans Comput Biol Bioinform
; 12(1): 4-16, 2015.
Article
em En
| MEDLINE
| ID: mdl-26357074
ABSTRACT
We introduce MRFy, a tool for protein remote homology detection that captures beta-strand dependencies in the Markov random field. Over a set of 11 SCOP beta-structural superfamilies, MRFy shows a 14 percent improvement in mean Area Under the Curve for the motif recognition problem as compared to HMMER, 25 percent improvement as compared to RAPTOR, 14 percent improvement as compared to HHPred, and a 18 percent improvement as compared to CNFPred and RaptorX. MRFy was implemented in the Haskell functional programming language, and parallelizes well on multi-core systems. MRFy is available, as source code as well as an executable, from http//mrfy.cs.tufts.edu/.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Proteínas
/
Alinhamento de Sequência
/
Homologia de Sequência de Aminoácidos
/
Biologia Computacional
/
Análise de Sequência de Proteína
Tipo de estudo:
Clinical_trials
/
Diagnostic_studies
/
Health_economic_evaluation
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
ACM Trans Comput Biol Bioinform
Assunto da revista:
BIOLOGIA
/
INFORMATICA MEDICA
Ano de publicação:
2015
Tipo de documento:
Article