LEAping to conclusions: A computational reanalysis of late embryogenesis abundant proteins and their possible roles
跳出结论:对胚胎晚期丰富蛋白的计算再分析及其可能的作用
作者: Michael J Wise
作者单位: 1Department of Genetics Cambridge University Cambridge U.K, UK
刊名: BMC Bioinformatics, 2003, Vol.4 (1), pp.1035-1040
来源数据库: Springer Nature Journal
DOI: 10.1186/1471-2105-4-52
关键词: Cold StressLate Embryogenesis AbundantLate Embryogenesis Abundant ProteinPfam FamilyUnsupervised Machine Learning
英文摘要: Abstract(#br)Background(#br)The late embryogenesis abundant (LEA) proteins cover a number of loosely related groups of proteins, originally found in plants but now being found in non-plant species. Their precise function is unknown, though considerable evidence suggests that LEA proteins are involved in desiccation resistance. Using a number of statistically-based bioinformatics tools the classification of a large set of LEA proteins, covering all Groups, is reexamined together with some previous findings. Searches based on peptide composition return proteins with similar composition to different LEA Groups; keyword clustering is then applied to reveal keywords and phrases suggestive of the Groups' properties. Results(#br)Previous research has suggested that glycine is characteristic of...
全文获取路径: Springer Nature  (合作)
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影响因子:3.024 (2012)

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