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主管单位 工业和信息化部 主办单位 哈尔滨工业大学 主编 任南琪 国际刊号ISSN 1672-5565 国内刊号CN 23-1513/Q

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引用本文:张志国,王东.牛NAD(+)异柠檬酸脱氢酶生物信息学分析[J].生物信息学,2019,17(4):214-226.
ZHANG Zhiguo,WANG Dong.Bioinformatics analysis of bovine NAD(+) isocitrate dehydrogenase[J].Chinese Journal of Bioinformatics,2019,17(4):214-226.
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牛NAD(+)异柠檬酸脱氢酶生物信息学分析
张志国,王东
(叶尔羌绿洲生态与生物资源研究高校重点实验室(喀什大学 生命与地理科学学院),新疆 喀什 844000)
摘要:
异柠檬酸脱氢酶(IDH)是三羧酸循环中的关键酶。为了进一步探索IDH的结构与功能,利用生物信息学方法对牛NAD(+)IDH进行分析。结果表明,该蛋白为亲水性蛋白,呈碱性,无跨膜区,在β亚基N端存在长度为16个氨基酸的信号肽,亚细胞定位在线粒体。二级结构预测结果显示该蛋白的三个亚基均以α螺旋为主,并且其上的螺旋和折叠均紧密有序排列,这有助于形成特定的结构域并发挥特定的生物学功能。对α和γ两个亚基采用同源建模法预测其三级结构模型,β亚基采用折叠识别法预测其三级结构模型,预测结果质量评估均较好。此外,分析了不同亚基的表面电荷分布,并预测了最可能的异柠檬酸和ADP的结合位点。通过生物信息学方法进行合理预测,为进一步研究IDH家族尤其是哺乳动物NAD(+)IDH提供了重要理论依据。
关键词:  生物信息学  NAD(+)IDH  结构预测  功能分析
DOI:10.3969/j.issn.1672-5565.2017.01.20
分类号:Q55
文献标识码:A
基金项目:新疆维吾尔自治区高校科研计划项目(No.XJEDU2018Y035);喀什大学高层次人才引进科研启动项目(No.GCC17ZK-001);新疆维吾尔自治区2017年天池博士计划项目(新教财(2018)8号);喀什大学2018年度校内科研课题重点课题(No. (18)2624).
Bioinformatics analysis of bovine NAD(+) isocitrate dehydrogenase
ZHANG Zhiguo, WANG Dong
(The Key Laboratory of Ecology and Biological Resources in Yarkand Oasis at Colleges & Universities under the Department of Education ofXinjiang Uygur Autonomous Region, College of Life and Geographic Sciences,Kashi University, Kashi 844000, Xinjiang,China)
Abstract:
Isocitrate dehydrogenase (IDH) is a key enzyme for tricarboxylic acid cycle. In order to further understand the structure and function of IDH, bovine NAD(+)IDH was predicted and analyzed by bioinformatics methods. Results show that NAD(+)IDH is a hydrophilic alkaline protein with no transmembrane region and a signal peptide with the length of 16 amino acids on the N-terminal of β subunit, and its subcellular localization is in mitochondria. The secondary structure prediction show that the three subunits of NAD(+)IDH are mainly α helix, and the spirals and folds on it are closely and orderly arranged, which is helpful to form certain domains and fulfill specific biological functions. The tertiary structural model of α and γ subunits was predicted by homology modeling methods, while that of β subunit was predicted by folding identification methods. The quality evaluation of the model prediction was satisfactory. In addition, the surface charge distribution of three subunits was analyzed and the most possible binding sites of isocitric acid and ADP were predicted. Reasonable prediction based on bioinformatics methods provide important theoretical basis for further research on IDH family, especially on the NAD(+)IDH of other mammals.
Key words:  Bioinformatics  NAD(+)IDH  Structure prediction  Functional analysis

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