UniProt公司
生物
基因本体论
计算生物学
蛋白质测序
蛋白质亚细胞定位预测
分类器(UML)
亚细胞定位
分类
蛋白质功能预测
肽序列
遗传学
人工智能
模式识别(心理学)
生物信息学
基因
计算机科学
算法
蛋白质功能
基因表达
作者
Paul Horton,Kyungjoon Park,Takeshi Obayashi,Nobuko FUJITA,Hideaki Harada,C.J. Adams-Collier,Kenta Nakai
摘要
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
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