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WoLF PSORT:蛋白质定位预测工具。

WoLF PSORT: protein localization predictor.

作者信息

Horton Paul, Park Keun-Joon, Obayashi Takeshi, Fujita Naoya, Harada Hajime, Adams-Collier C J, Nakai Kenta

机构信息

Computational Biology Research Center, AIST, Tokyo, Japan.

出版信息

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W585-7. doi: 10.1093/nar/gkm259. Epub 2007 May 21.

Abstract

WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs such as DNA-binding motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. Using html, the evidence for each prediction is shown in two ways: (i) a list of proteins of known localization with the most similar localization features to the query, and (ii) tables with detailed information about individual localization features. For convenience, sequence alignments of the query to similar proteins and links to UniProt and Gene Ontology are provided. Taken together, this information allows a user to understand the evidence (or lack thereof) behind the predictions made for particular proteins. WoLF PSORT is available at wolfpsort.org.

摘要

WoLF PSORT是用于蛋白质亚细胞定位预测的PSORT II程序的扩展版本。WoLF PSORT将蛋白质氨基酸序列转化为数字定位特征;基于分选信号、氨基酸组成以及诸如DNA结合基序等功能基序。转化之后,使用简单的k近邻分类器进行预测。通过超文本标记语言(html),每个预测的证据以两种方式呈现:(i)与查询具有最相似定位特征的已知定位蛋白质列表,以及(ii)包含有关各个定位特征详细信息的表格。为方便起见,还提供了查询与相似蛋白质的序列比对以及到通用蛋白质数据库(UniProt)和基因本体论(Gene Ontology)的链接。综上所述,这些信息使用户能够理解针对特定蛋白质所做预测背后的证据(或缺乏证据的情况)。可在wolfpsort.org获取WoLF PSORT。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8e9/1933216/0a70682ff6e7/gkm259f1.jpg

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