Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions.
J Theor Biol
; 473: 38-43, 2019 07 21.
Article
em En
| MEDLINE
| ID: mdl-31051179
ABSTRACT
Golgi apparatus is an important subcellular organelle that participates the secretion pathway. The role of Golgi apparatus in cellular process is related with Golgi-resident proteins. Knowing the sub-Golgi locations of Golgi-resident proteins is helpful in understanding their molecular functions. In this work, we proposed a computational method to predict the sub-Golgi locations for the Golgi-resident proteins. We take three sub-Golgi locations into consideration the cis-Golgi network (CGN), the Golgi stack and the trans-Golgi network (TGN). By combining Pseudo-Amino Acid Compositions (Type-II PseAAC) and the Functional Domain Enrichment Score (FunDES), our method not only achieved better performances than existing methods, but also capable of recognizing proteins of the Golgi stack location, which is never considered in other state-of-the-art works.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Proteínas
/
Aminoácidos
/
Complexo de Golgi
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
J Theor Biol
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
China