PECAS：分泌蛋白组的原核生物和真核生物经典分析

PECAS: prokaryotic and eukaryotic classical analysis of secretome.

作者信息

Cortazar Ana R, Oguiza José A, Aransay Ana M, Lavín José L

机构信息

Genome Analysis Platform, CIC bioGUNE and CIBERehd, Bizkaia Technology Park, 48160, Derio, Spain.

Genetics and Microbiology Research Group, Department of Agrarian Production, Public University of Navarre, 31006, Pamplona, Spain.

出版信息

Amino Acids. 2015 Dec;47(12):2659-63. doi: 10.1007/s00726-015-2058-2. Epub 2015 Aug 2.

DOI:10.1007/s00726-015-2058-2

PMID:26233761

Abstract

Full sets of proteins that are transported to the extracellular space, called secretomes, have been studied for a variety of organisms to understand their potential role in crucial metabolic pathways and complex health conditions. However, there is a lack of tools for integrative classical analysis of secretomes that consider all the data sources available nowadays. Thus, PECAS (Prokaryotic and Eukaryotic Classical Analysis of Secretome) has been developed to provide a well-established prediction pipeline on secreted proteins for prokaryote and eukaryote species.

摘要

被称为分泌蛋白质组的、转运到细胞外空间的全套蛋白质，已针对多种生物体进行了研究，以了解它们在关键代谢途径和复杂健康状况中的潜在作用。然而，目前缺乏用于对分泌蛋白质组进行综合经典分析的工具，这些工具需要考虑到如今所有可用的数据源。因此，开发了PECAS（分泌蛋白质组的原核生物和真核生物经典分析），以便为原核生物和真核生物物种的分泌蛋白提供一套完善的预测流程。