Lippmann Catharina, Kringel Dario, Ultsch Alfred, Lötsch Jörn
Fraunhofer Institute of Molecular Biology & Applied Ecology - Project Group Translational Medicine & Pharmacology (IME-TMP), Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Pharmacogenomics. 2018 Jun 1;19(9):783-797. doi: 10.2217/pgs-2018-0036. Epub 2018 May 24.
Persistent pain is a major healthcare problem affecting a fifth of adults worldwide with still limited treatment options. The search for new analgesics increasingly includes the novel research area of functional genomics, which combines data derived from various processes related to DNA sequence, gene expression or protein function and uses advanced methods of data mining and knowledge discovery with the goal of understanding the relationship between the genome and the phenotype. Its use in drug discovery and repurposing for analgesic indications has so far been performed using knowledge discovery in gene function and drug target-related databases; next-generation sequencing; and functional proteomics-based approaches. Here, we discuss recent efforts in functional genomics-based approaches to analgesic drug discovery and repurposing and highlight the potential of computational functional genomics in this field including a demonstration of the workflow using a novel R library 'dbtORA'.
持续性疼痛是一个重大的医疗保健问题，影响着全球五分之一的成年人，而治疗选择仍然有限。对新型镇痛药的探索越来越多地涉及功能基因组学这一新兴研究领域，该领域将来自与DNA序列、基因表达或蛋白质功能相关的各种过程的数据结合起来，并使用先进的数据挖掘和知识发现方法，以了解基因组与表型之间的关系。到目前为止，其在镇痛适应症的药物发现和重新利用方面的应用是通过在基因功能和药物靶点相关数据库中进行知识发现、下一代测序以及基于功能蛋白质组学的方法来实现的。在这里，我们讨论了基于功能基因组学的镇痛药物发现和重新利用方法的最新进展，并强调了计算功能基因组学在该领域的潜力，包括使用新型R库“dbtORA”展示工作流程。
