The JCSG high-throughput structural biology pipeline
The JCSG high-throughput structural biology pipeline
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DOI：
10.1107/s1744309110038212
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发表时间：
2010-10-01
影响因子：
0.9
通讯作者：
Wilson, Ian A.
中科院分区：
文献类型：
--
作者：
Elsliger, Marc-Andre;Deacon, Ashley M.;Wilson, Ian A.
在过去的十年里，结构基因组学联合中心的高通量结构生物学管道已经为社区提供了1000多个结构。JCSG为NIH蛋白质结构倡议（PSI）的总体目标做出了重大贡献，即扩大蛋白质宇宙的结构覆盖范围，并在整个生物体的结构覆盖范围方面取得了实质性进展。通过生物信息学和生物物理学分析的广泛组合来处理靶标，以在选择用于结构测定之前有效地表征和优化每个靶标。该流水线几乎在过程的每一步都使用并行处理方法，可以适应从细菌到人类的各种蛋白质靶点。多年来，JCSG基因到结构管道的建设、扩展和优化带来了许多技术和方法上的进步和发展。通过试验管道的多个阶段处理的目标数量巨大，相关数据量巨大，因此需要开发各种宝贵的资源，只要可行，这些资源都已转换为免费使用的网络工具和应用程序。
The Joint Center for Structural Genomics high-throughput structural biology pipeline has delivered more than 1000 structures to the community over the past ten years. The JCSG has made a significant contribution to the overall goal of the NIH Protein Structure Initiative (PSI) of expanding structural coverage of the protein universe, as well as making substantial inroads into structural coverage of an entire organism. Targets are processed through an extensive combination of bioinformatics and biophysical analyses to efficiently characterize and optimize each target prior to selection for structure determination. The pipeline uses parallel processing methods at almost every step in the process and can adapt to a wide range of protein targets from bacterial to human. The construction, expansion and optimization of the JCSG gene-to-structure pipeline over the years have resulted in many technological and methodological advances and developments. The vast number of targets and the enormous amounts of associated data processed through the multiple stages of the experimental pipeline required the development of variety of valuable resources that, wherever feasible, have been converted to free-access web-based tools and applications.