Tari Leslie W, Rosenberg Martin, Schryvers Anthony B
ActiveSight, 4045 Sorrento Valley Blvd, San Diego, CA 92121, USA.
Expert Rev Proteomics. 2005 Aug;2(4):511-9. doi: 10.1586/14789450.2.4.511.
High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.
公司和结构基因组学计划所采用的高通量、自动化或半自动化方法,加速了通过X射线晶体学获取蛋白质结构信息的进程。这使得基于结构的药物设计技术能够应用于各种具有潜在药理学相关性的新结构。尽管要将这些方法更广泛地应用于所有类型的药物发现靶点仍存在重大挑战,但显然,科学界持续开发和应用这些基于结构的药物设计方法将有助于应对并解决这些障碍。结果将是越来越多具有重要药理学靶点的蛋白质结构,这将有助于简化药物开发中先导化合物的鉴定和优化过程。这些先导激动剂和拮抗剂药效团反过来应有助于缓解药物发现过程中当前的一个关键瓶颈,即确定潜在新靶点与疾病修饰的功能相关性。生成越来越多潜在药物候选物的前景可能会凸显药物开发未来最显著的瓶颈,即药物审批过程的成本和复杂性。