plant-mploc算法的原理 Plant-MPLoc算法是一种基于多代理系统的植物种群优化算法(Planted Multi-Agent Particle Swarm Optimization,简称Plant-MPSO),用于解决全局优化问题。该算法结合了粒子群优化(Particle Swarm Optimization,简称PSO)和多代理系统(Multi-Agent System,简称MAS)的优点,以植物生长的生物特性为启发,模拟...
Plant-mPLoc:ATop-DownStrategytoAugmentthePowerforPredictingPlantProteinSubcellularLocalizationKuo-ChenChou1,2*,Hong-BinShen1,21InstituteofImageProcessing&PatternRecognition,ShanghaiJiaotongUniversity,Shanghai,China,2GordonLifeScienceInstitute,SanDiego,California,UnitedStatesofAmericaAbstractOneofthefundamentalgoalsinprote...
Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization DOI: 10.1371/journal.pone.0011335 Kuo-Chen Chou,Hong-Bin Shen Full-Text Cite this paper Add to My Lib Abstract: One of the fundamental goals in proteomics and cell biology is to iden...
其拟南芥同源物(AtLHCa2)编码光系统I(PSI)外部天线的光捕获超复合体的四个亚基之一。 根据公共数据库Plant mPLoc和大豆eFP Browser的数据,GmLHCa2定位于叶绿体,GmLHCC2在大豆叶片、花朵和种子中表达,在叶片中表达最高。我们使用双分子荧光互补(BiFC)和共免疫沉淀(co-IP)分析证实了GmFtsH25-GmLHCa2的相互作用(图...
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results indicated that the SsBBX13-GFP fusion protein was present in the nucleus, while GFP was distributed throughout the whole cell (Fig.1). These results were in accordance with sequence predictions by the online tool Plant-mPLoc, which indicated that SsBBX13 was mainly located in the ...
]. The Plant-mPLoc online tool (http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/) [27] was used to predict the subcellular localization of SAUR proteins. Phylogenetic analysis of SAUR family Phylogenetic analysis of the multiple sequence alignment of SAUR proteins was conducted. Phylogenetic ...
Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization. PLOS One. 2010;5(6):e11335. Article PubMed PubMed Central Google Scholar Nielsen H. Predicting secretory proteins with SignalP. Methods Mol Biol (Clifton, NJ). 2017;1611:59–73. ...
Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization. Chou KC, Shen HB. PLoS One. 2010 Jun 28;5(6):e11335. doi: 10.1371/journal.pone.0011335. Gpos-mPLoc: a top-down approach to improve the quality of predicting subcellular localization...
Proteins are the key elements on the path from genetic information to the development of life. The roles played by the different proteins are difficult to uncover experimentally as this process involves complex procedures such as genetic modifications, i