Cargando…

Computational prediction of secreted proteins in gram-negative bacteria

Gram-negative bacteria harness multiple protein secretion systems and secrete a large proportion of the proteome. Proteins can be exported to periplasmic space, integrated into membrane, transported into extracellular milieu, or translocated into cytoplasm of contacting cells. It is important for ac...

Descripción completa

Detalles Bibliográficos
Autores principales: Hui, Xinjie, Chen, Zewei, Zhang, Junya, Lu, Moyang, Cai, Xuxia, Deng, Yuping, Hu, Yueming, Wang, Yejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047123/
https://www.ncbi.nlm.nih.gov/pubmed/33897982
http://dx.doi.org/10.1016/j.csbj.2021.03.019
Descripción
Sumario:Gram-negative bacteria harness multiple protein secretion systems and secrete a large proportion of the proteome. Proteins can be exported to periplasmic space, integrated into membrane, transported into extracellular milieu, or translocated into cytoplasm of contacting cells. It is important for accurate, genome-wide annotation of the secreted proteins and their secretion pathways. In this review, we systematically classified the secreted proteins according to the types of secretion systems in Gram-negative bacteria, summarized the known features of these proteins, and reviewed the algorithms and tools for their prediction.