Applying sequential forward floating selection to protein structure prediction with a study of HIV-1 PR.
AMIA Annu Symp Proc
; : 1072, 2006.
Article
em En
| MEDLINE
| ID: mdl-17238691
ABSTRACT
Accurate structural models of target proteins are an essential component to structure-based drug design methods. To aid in this effort, the sequential forward floating selection (SFFS) algorithm is being applied to protein structure prediction. This algorithm demonstrates a reasonable balance between optimity of feature selection and efficiency while using large datasets such as the protein databank (PDB). The resulting protein structure predictions will be used in a study of HIV-1 PR.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Conformação Proteica
/
Algoritmos
/
Protease de HIV
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
AMIA Annu Symp Proc
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2006
Tipo de documento:
Article
País de afiliação:
Estados Unidos