KEA: kinase enrichment analysis.
KEA: kinase enrichment analysis.
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DOI：
10.1093/bioinformatics/btp026
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发表时间：
2009-03-01
期刊：
影响因子：
--
通讯作者：
Ma'ayan A
中科院分区：
文献类型：
--
作者：
Lachmann A;Ma'ayan A
动机：应用于哺乳动物细胞的多变量实验通常产生在处理与对照条件下改变的蛋白质/基因的列表。这样的列表可以投射到激酶-底物相互作用的先验知识上，以推断与特定蛋白质列表相关的激酶列表。通过计算与特定蛋白质/基因列表相关的激酶的比例如何偏离预期分布，我们可以基于这些激酶在特定实验条件下与调节细胞功能相关的可能性对激酶和激酶家族进行排名。这种分析可以帮助产生假说，这些假说可以解释激酶组如何参与不同细胞状态的维持，并且可以被操纵以将细胞调节为期望的表型。总结：激酶富集分析（KEA）是一种基于网络的工具，具有基础数据库，为用户提供将哺乳动物蛋白质/基因列表与磷酸化它们的激酶链接的能力。该系统从几个可用的激酶-底物数据库中提取，以基于背景激酶-底物数据库中激酶-底物比例的分布与发现与基因/蛋白质的输入列表相关的激酶相比来计算激酶富集概率。可用性：KEA系统可在http://amp.pharm.mssm.edu/lib/kea.jsp上免费获得联系人：avi. mssm.edu
Motivation: Multivariate experiments applied to mammalian cells often produce lists of proteins/genes altered under treatment versus control conditions. Such lists can be projected onto prior knowledge of kinase–substrate interactions to infer the list of kinases associated with a specific protein list. By computing how the proportion of kinases, associated with a specific list of proteins/genes, deviates from an expected distribution, we can rank kinases and kinase families based on the likelihood that these kinases are functionally associated with regulating the cell under specific experimental conditions. Such analysis can assist in producing hypotheses that can explain how the kinome is involved in the maintenance of different cellular states and can be manipulated to modulate cells towards a desired phenotype. Summary: Kinase enrichment analysis (KEA) is a web-based tool with an underlying database providing users with the ability to link lists of mammalian proteins/genes with the kinases that phosphorylate them. The system draws from several available kinase–substrate databases to compute kinase enrichment probability based on the distribution of kinase–substrate proportions in the background kinase–substrate database compared with kinases found to be associated with an input list of genes/proteins. Availability: The KEA system is freely available at http://amp.pharm.mssm.edu/lib/kea.jsp Contact: avi.maayan@mssm.edu
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影响因子：
3
作者：
Berger SI;Posner JM;Ma'ayan A
通讯作者：
Ma'ayan A
影响因子：
--
作者：
Fisher, RA
通讯作者：
Fisher, RA
影响因子：
14.9
作者：
Chatr-aryamontri, Andrew;Ceol, Arnaud;Palazzi, Luisa Montecchi;Nardelli, Giuliano;Schneider, Maria Victoria;Castagnoli, Luisa;Cesareni, Gianni
通讯作者：
Cesareni, Gianni
Kinasephos：用于识别蛋白激酶特异性磷酸化位点的Web工具。
影响因子：
14.9
作者：
Huang, HD;Lee, TY;Tzeng, SW;Horng, JT
通讯作者：
Horng, JT
影响因子：
5.8
作者：
Yang, Chia-Ying;Chang, Chao-Hui;Huang, Chi-Ying F.
通讯作者：
Huang, Chi-Ying F.