Characterization of protein secretion based on structural fusion degree / 生物工程学报
Chinese Journal of Biotechnology
;
(12): 687-695, 2010.
Artigo
em Chinês
| WPRIM
| ID: wpr-292219
ABSTRACT
Selection of suitable signal peptides is an important factor for efficient secretion of heterologous proteins. We defined structural fusion degree (SFD) as the compatibility degree of target proteins and signal peptides by a bioinformatics approach. We mathematically analyzed the interaction of fused signal peptides and adjacent residues of proteins, and proposed a mathematical model of extended signal region and the protein. SFD Features was extracted from this model to characterize the secretability of heterologous proteins. Simulation tests showed that SFD features can effectively discriminate high secretory proteins from poor ones in the host Bacillus subtilis. Results from this research will be useful in signal peptide selection and have a better guiding significance for the optimization of heterologous protein secretion.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Proteínas de Membrana Transportadoras
/
Bacillus subtilis
/
Proteínas de Bactérias
/
Biotecnologia
/
Proteínas Recombinantes de Fusão
/
Sinais Direcionadores de Proteínas
/
Metaloendopeptidases
/
Dados de Sequência Molecular
/
Proteínas
/
Sequência de Aminoácidos
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Biotechnology
Ano de publicação:
2010
Tipo de documento:
Artigo
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