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基于药效团模型的DHODH抑制剂构效关系研究 被引量:5

Structure-activity Relationship Studies on Inhibitors of Dihydroorotate Dehydrogenase Based on Pharmacophore Model
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摘要 利用药效团模型研究二氢乳清酸脱氢酶(Dihydroorotate dehydrogenase,DHODH)抑制剂的构效关系,为DHODH抑制剂的虚拟筛选提供新的方法.以31个具有DHODH抑制活性的化合物为训练集化合物,半数抑制浓度(IC50)范围为7~63000 nmol/L,利用Catalyst/HypoGen算法构建DHODH抑制剂药效团模型,通过对训练集化合物多个构象进行叠合,提取药效团特征及三维空间限制构建药效团模型.利用基于CatScramble的交叉验证方法及评价模型对已知活性化合物的活性预测能力,确定较优药效团模型.模型包含1个氢键受体、3个疏水中心,表征了受体配体相互作用时可能发生的氢键相互作用、疏水相互作用和π-π相互作用,4个药效特征在三维空间的排列概括了DHODH抑制剂产生活性的结构特点.所得较优模型对训练集化合物及测试集化合物的计算活性值与实验活性值的相关系数分别为0.8405和0.8788.利用药效团模型对来源于微生物的系列化合物进行虚拟筛选,筛选出59个预测活性较好的化合物,可作为进一步药物研发的候选化合物. The pharmacophore model of dihydroorotate dehydrogenase inhibitors was established guide the investigation on virtual screening for new dihydroorotate dehydrogenase inhibitors.Based on the training set composed of 31 DHODH inhibitors,pharmacophore models were generated by HypoGen program of the Catalyst software.The IC50 of the inhibitors varied from 7 to 63000 nmol/L.The pharmacophore models were a set of 3D pharmacophore features,which were constructed by the generation of conformational models and alignments of conformations based on the training set.The best model was validated to be highly predictive by two methods,namely,test set prediction and CatScramble method.This model consisted of two hydrogen-bond acceptors,and two hydrophobic regions.These features in the three-dimensional arrangement in the pharmacophore model could be characterized as hydrogen bond interaction,hydrophobic interaction and π-π interaction between ligand and acceptor.These features play an important role in determining the activities of bioactive molecules.The model′s correlation coefficient between the estimated and true activities for compounds constituting the training set were 0.8405,and for compounds from microbial metabolites were 0.8788.Using the pharmacophore model of DHODH inhibitors,59 compounds with good estimated activities were found from microbial metabolites.New DHODH inhibitors may be found from these candidate compounds.
出处 《高等学校化学学报》 SCIE EI CAS CSCD 北大核心 2010年第5期938-946,共9页 Chemical Journal of Chinese Universities
关键词 DHODH抑制剂 构效关系 药效团模型 虚拟筛选 Dihydroorotate dehydrogenase inhibitor Structure-activity relationship Pharmacophore model Virtual screening
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参考文献27

  • 1Jeffrey B. , Carolyn H. M. , Nicholas A. M. , et al.. J. Biol. Chem. [J], 2005, 22:21847-21853.
  • 2Bunis H. A. , Raymond E. , Awada A. , et al.. Invest. New Drug[J] , 1998, 16:19-27.
  • 3Makowka L. , Tixier D. , Chaux A. , et al.. Transplant. Proc. [J], 1993, 25:48-53.
  • 4Pally C. , Smith D. , Jaffee B. , et al.. Toxicology[J] , 1998, 127:207-222.
  • 5Alldred A. , Emery P.. Expert Opin. Pharmacother. [J] , 2001 , 2:125-137.
  • 6Cohen S. , Cannon G. W. , Schiff M. , et al.. Arthritis Rheum. [J] , 2001, 44:1984-1992.
  • 7Emery P., Breedveld F. C. , Lemmel E. M., et al.. Rheumatology(Oxford, U. K. ) [J], 2000, 39:655-665.
  • 8Li E. K. , Tam L. S. , Tomlinson B.. Clin. Ther. [J], 2004, 26:447-459.
  • 9Shastri V. , Betkerur J. , Kushalappa P. A. , et al.. Indian J. Dermatol. , Venereol. , Leprol. [J], 2006, 72:286-289.
  • 10XU Xiao-Jie(徐筱杰),HOU Ting—Jun(侯廷军),QIAO Xue-Bin(乔学斌),et al..Computer-Aided Drug Molecular Design(计算机辅助药物分子设计)[M],Beijing:Chemical Industry Press,2004:295-300

二级参考文献12

  • 1张燕玲,王耘,乔延江.中药与天然产物研究中药效团的构建与应用[J].世界科学技术-中医药现代化,2004,6(4):33-38. 被引量:5
  • 2王园,王嘉陵,冯秀玲,胡文淑.莲心碱对几种平滑肌作用的研究[J].中国药理学通报,1994,10(4):281-283. 被引量:8
  • 3LIU Zheng-Xiang(刘正湘).Practical Cardiovascular Receptorology(实用心血管受体学)[M],Beijing:Science Press,2001:288
  • 4LIU Zheng-Xiang(刘正湘).Practical Cardiovascular Receptorology(实用心血管受体学)[M],Beijing:Science Press,2002:290-292
  • 5CHEN Xiu(陈修),CHEN Wei-Zhou(陈维洲),ZENG Gui-Yun(曾贵云).Cardiovascular Pharmacology(心血管药理学)[M],Beijing : People's Medical Publishing House, 2001 : 202
  • 6XU Xiao-Jie(徐筱杰),HOU Ting—Jun(侯廷军),QIAO Xue-Bin(乔学斌),et al..Computer-Aided Drug Molecular Design(计算机辅助药物分子设计)[M],Beijing:Chemical Industry Press,2004:295-300
  • 7GUO Zong-Ru(郭宗儒).Drug Molecular Design(药物分子设计)[M],Beijing: Chemical Industry Press, 2005:372-373
  • 8Osman F. G.. Pharmacophore Perception, Development, and Use in Drug Design[ M], California: International University Line, 2000: 8-9
  • 9Osman F. G.. Pharmacophore Perception, Development, and Use in Drug Design[M], USA: International University Line, 2000 : 259-260
  • 10Du Lu-Pei, Li Mi-Yong, Tsai Keng-Chang, et al.. Biochemical and Biophysical Research Communications [ J] , 2005, 332:677-687

共引文献10

同被引文献71

  • 1董炜疆,冯改丰.β-分泌酶——治疗阿尔茨海默病的靶点[J].医学综述,2005,11(10):865-867. 被引量:2
  • 2鄢浩,姜凤超.γ-分泌酶抑制剂的药效团模型构建[J].物理化学学报,2006,22(3):359-364. 被引量:6
  • 3江洪波,黄静,郭明娟,邹萍,田祥琴.天然高异黄酮的研究进展[J].药学学报,2007,42(2):118-126. 被引量:27
  • 4邱志群,舒为群,曹佳.我国水中有机物及部分持久性有机物污染现状[J].癌变.畸变.突变,2007,19(3):188-193. 被引量:32
  • 5Khedkar S A, Malde A K, Coutinho E C, et al. Pharmacophore modeling in drug discovery and development: an overview[J]. Med Chem,2007,3(2) :187-197.
  • 6Kurogi Y, Gtiner O F. Pharmacophore modeling and three-dimensional database searching for drug design using catalyst[ J]. Curr Med Chem, 2001,8(9) :1035 - 1055.
  • 7Guner O F. Pharmaeophore Perception, development, and Use in Drug Design[ M ]. La Jolla: International University Line, 2000 : 174.
  • 8Guner O F, Clement O, Kurogi Y. Pharmacophore modeling and three dimensional database searching for drug design using catalyst : recent advances [ J ]. Curr Med Chem, 2004, 11 (22) :2991 - 3005.
  • 9Fong T, Morgensztern D, Govindan R. EGFR inhibitors as first-line therapy in advanced non-small ceil lung cancer[ J]. J Thorac Oncol, 2008,3(3) :303 -310.
  • 10Leban J, Kralik M, Mies J, et al. SAR, species specificity, and cellular activity of cyclopentene dicarboxylic acid amides as DHODH inhibitors [ J ]. Bioorg Med Chem Lett, 2005, 5 ( 21 ) : 4854 - 4857.

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