天然产物的质谱智能解析研究
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  • 英文篇名:Intelligent interpretation of mass spectra of natural products
  • 作者:夏兵 ; 马风伟 ; 丁立生 ; 周燕
  • 英文作者:Bing Xia;Fengwei Ma;Lisheng Ding;Yan Zhou;Chengdu Institute of Biology, Chinese Academy of Sciences;
  • 关键词:天然产物 ; 质谱 ; 特征裂解 ; 质谱智能解析
  • 英文关键词:natural products;;mass spectrometry;;characteristic fragmentation;;intelligent interpretation of mass spectra
  • 中文刊名:JBXK
  • 英文刊名:Scientia Sinica(Chimica)
  • 机构:中国科学院成都生物研究所;
  • 出版日期:2017-12-20
  • 出版单位:中国科学:化学
  • 年:2017
  • 期:v.47
  • 基金:国家自然科学基金(编号:21572221,21572219,21672206,21302180,21072185);; 中国科学院昆明植物研究所植物化学与西部植物资源持续利用国家重点实验室开放课题(编号:P2015-KF09)资助项目
  • 语种:中文;
  • 页:JBXK201712011
  • 页数:9
  • CN:12
  • ISSN:11-5838/O6
  • 分类号:112-120
摘要
串联质谱在鉴定天然产物的分子结构方面起着重要的作用.每一类天然产物,在串联质谱中除有常规的质谱裂解方式外,通常还具有因特定骨架类型而产生的特征裂解.因此可以通过天然产物各类成分的特征质谱裂解所产生的特征碎片离子(diagnostic ions)来确认该类天然产物的结构类型,然后再由常规的裂解方式来推测其周边可能的取代基团.基于以上思路,我们设计并构建了一种天然产物质谱智能解析软件SmartMass.
        Tandem mass spectrometry(MS/MS) plays an important role in the screening and structural characterization of natural products. In addition to general fragmentations, chemicals sharing a same particular structure often produce a common characteristic fragmentation pattern under MS/MS experiments which represent a specific characteristic substructure. Therefore, the class of unknown natural products can be predicted by the diagnostic fragment ions based on MS/MS. The peripheral groups of the chemicals within a class could be inferred by general fragmentation pattern.Based on above mentioned concepts, SmartMass, a software program was developed and implemented for intelligent interpretation of natural products.
引文
1 Nelson RW,Dogruel D,Williams P,Beavis R.Rapid Commun Mass Spectrom,1994,8:627–631
    2 Smith RD,Loo JA,Edmonds CG,Barinaga CJ,Udseth HR.Anal Chem,1990,62:882–899
    3 Newman DJ,Cragg GM.J Nat Prod,2016,79:629–661
    4 Patridge E,Gareiss P,Kinch MS,Hoyer D.Drug Discovery Today,2016,21:204–207
    5 Cragg GM,Newman DJ.BioChim Biophys Acta(BBA)-Gen Subj,2013,1830:3670–3695
    6 Butler MS.Nat Prod Rep,2008,25:475
    7 Newman DJ,Cragg GM.J Nat Prod,2007,70:461–477
    8 Hall LD,Sanders JKM.J Am Chem Soc,1980,102:5703–5711
    9 Verdier L,Sakhaii P,Zweckstetter M,Griesinger C.J Magn Reson,2003,163:353–359
    10 Nielsen KF,Mansson M,Rank C,Frisvad JC,Larsen TO.J Nat Prod,2011,74:2338–2348
    11 Cardellina JH,Munro MHG,Fuller RW,Manfredi KP,McKee TC,Tischler M,Bokesch HR,Gustafson KR,Beutler JA,Boyd MR.J Nat Prod,1993,56:1123–1129
    12 Papayannopoulos IA.Mass Spectrom Rev,1995,14:49–73
    13 Ma YL,Vedernikova I,Heuvel H,Claeys M.J Am Soc Mass Spectrom,2000,11:136–144
    14 Kerns EH,Volk KJ,Hill SE,Lee MS.J Nat Prod,1994,57:1391–1403
    15 Krauss M,Singer H,Hollender J.Anal Bioanal Chem,2010,397:943–951
    16 龚晓云,熊行创,张四纯,方向,张新荣.中国科学:化学,2016,46:133–152
    17 李海芳,张英,林金明.中国科学:化学,2014,44:777–783
    18 王献,林树海,蔡宗苇.中国科学:化学,2014,44:724–731
    19 Lindsay RK,Buchanan BG,Feigenbaum EA,Lederberg J.Applications of Artificial Intelligence for Organic Chemistry:the DENDRAL Project.New York:McGraw-Hill Book Company,1980
    20 Baricic P,Mackov M.J Mol Graphics,1995,13:184–189
    21 Hart PE,Duda RO,Einaudi MT.Math Geol,1978,10:589–610
    22 High Chem Mass Frontier 7.0 SR1,2012.Available at:http://www.highchem.com
    23 ACD/MS Fragmenter,2012.Available at:http://www.acdlabs.com
    24 Mascot,2012.Available at:http://www.matrixscience.com
    25 Xia B,Liu X,Gu YC,Zhang ZH,Wang HY,Ding LS,Zhou Y.J Am Soc Mass Spectrom,2013,24:789–793
    26 Xia B,Tai ZF,Gu YC,Li BJ,Ding LS,Zhou Y.J Comput Chem,2011,32:2942–2948
    27 Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Bryant SH.Nucleic Acids Res,2009,37:W623–W633
    28 Bryant S.PubChem:an information resource linking chemistry and biology.In:Abstracts of Papers of the American Chemical Society.San Francisco,CA,2006.231
    29 Yang XW,Yang J,Xu G.J Nat Prod,2017,80:108–113
    30 Luo SH,Luo Q,Niu XM,Xie MJ,Zhao X,Schneider B,Gershenzon J,Li SH.Angew Chem Int Ed,2010,49:4471

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