而有机会发展针对疾病关键发生途径的治疗手段。Р 在远期,整合了基因组学、病原学和临床实验数据的生物信息分析结果通过简单的基因测试将揭示潜在的个体耐药反应。最终,药物基因组学将导致个体化用药时代的来临,患者将携带包含自身独一无二遗传图谱的基因卡寻医问药,而医生将根据患者基因特征开出针对个体治疗和无副作用的靶点药物。参考文献Р 1 Read TD, Salzberg SL, Pop M , et parative genome sequencing for discovery of novel polymorphisms in Bacillus anthracis.Science, 2002, 296(5575):2028-2033. 2 Gale CP, Grant PJ.The characterisation and functional analysis of the human glyoxalase-1 gene using methods of bioinformatics. Gene, 2004, 340( 2):251-260. 3 Douguet D, M unier-Lehmann H, et al.LEA3D: puter-aided ligand design for structure-based drug design. J Med Chem, 2005, 48( 7):2457-2468.Р 4 Rig olet P, Xi XG, Rety S, et al. T he parison of the bacterial PepX and human DPP-IV reveals sites for the design of inhibitors of PepX activity.FEBS J , 2005, 272( 8):2050-2059.
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