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首页> 外文期刊>Current cancer drug targets >The role of emerging genomics and proteomics technologies in cancer drug target discovery.
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The role of emerging genomics and proteomics technologies in cancer drug target discovery.

机译:新兴的基因组学和蛋白质组学技术在癌症药物靶标发现中的作用。

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Cancer drugs have traditionally been identified in screens designed to produce broad biological end points such as cell death. A serious undesired outcome of drugs discovered in these screens is that the mechanism of drug action is unknown and such drugs often have adverse side effects. Designing cancer drugs that act on specific targets offer the advantage that the mechanism of drug action can be understood and accurately monitored in clinical trials leading to development of better drugs. The pharmacological industry has recently shifted to a target directed drug discovery model. However, until recently potential cancer drug targets comprised of only a small fraction of the human genome. The human genome project and high-throughput structural and functional genomics have dramatically increased the number of cancer drug targets. Deciphering cancer drug targets requires the understanding of biochemical pathways that are affected in the cancer genome. It has been suggested that utilization of Single-nucleotide polymorphisms (SNPs) will aid in identifying individuals at high risk of developing certain cancers, and will also help in development of tailored medication or identify genetic profiles of specific drug action and toxicity. Achieving successful new cancer drug development schemes will require a merger of research disciplines that include pharmacology, genomics, comparative genomics, functional genomics, proteomics and bioinformatics. In this review the significance and challenges of these rapidly evolving technologies in cancer drug target discovery are discussed.
机译:传统上已经在旨在产生广泛的生物学终点(例如细胞死亡)的筛选器中鉴定出了癌症药物。在这些筛选中发现的药物的严重不良后果是,药物作用的机制尚不清楚,并且此类药物通常具有不良副作用。设计作用于特定靶标的抗癌药物具有以下优势:可以在导致开发更好药物的临床试验中理解并准确监测药物作用的机制。药理学行业最近已转向目标定向药物发现模型。但是,直到最近,潜在的癌症药物靶标仅占人类基因组的一小部分。人类基因组计划以及高通量的结构和功能基因组学极大地增加了癌症药物靶标的数量。破译癌症药物靶标需要了解癌症基因组中受影响的生化途径。已经提出,利用单核苷酸多态性(SNP)将有助于鉴定具有发展某些癌症的高风险的个体,并且还将有助于开发定制药物或鉴定特定药物作用和毒性的遗传概况。要成功地完成新的癌症药物开发计划,就需要合并包括药理学,基因组学,比较基因组学,功能基因组学,蛋白质组学和生物信息学在内的研究学科。在这篇综述中,讨论了这些快速发展的技术在癌症药物靶标发现中的意义和挑战。

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