Joint Center for Structural Genomics, Bioinformatics Core, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.
BMC Bioinformatics. 2010 Aug 17;11:426. doi: 10.1186/1471-2105-11-426.
Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools of literature searches, remaining underutilized by the broad biological community.
To address this issue we have developed TOPSAN, The Open Protein Structure Annotation Network, a web-based platform that combines the openness of the wiki model with the quality control of scientific communication. TOPSAN enables research collaborations and scientific dialogue among globally distributed participants, the results of which are reviewed by experts and eventually validated by peer review. The immediate goal of TOPSAN is to harness the combined experience, knowledge, and data from such collaborations in order to enhance the impact of the astonishing number and diversity of structures being determined by structural genomics centers and high-throughput structural biology.
TOPSAN combines features of automated annotation databases and formal, peer-reviewed scientific research literature, providing an ideal vehicle to bridge a gap between rapidly accumulating data from high-throughput technologies and a much slower pace for its analysis and integration with other, relevant research.
许多在高通量结构基因组学中心确定的蛋白质结构，尽管它们具有显著的新颖性和重要性，但仅作为 PDB 沉积物提供，并且没有伴随经过同行评审的手稿。由于这个原因，它们无法通过标准的文献搜索工具进行检索，仍然未被广泛的生物学界充分利用。
为了解决这个问题，我们开发了 TOPSAN，即开放蛋白质结构注释网络，这是一个基于网络的平台，结合了维基模型的开放性和科学交流的质量控制。TOPSAN 使全球分布的参与者能够进行研究合作和科学对话，其结果由专家进行审查，并最终通过同行评审进行验证。TOPSAN 的直接目标是利用这些合作的综合经验、知识和数据，以增强结构基因组学中心和高通量结构生物学确定的惊人数量和多样性结构的影响力。
TOPSAN 结合了自动注释数据库和正式的、经过同行评审的科学研究文献的特点，为快速积累的高通量技术数据与对其进行分析并与其他相关研究进行整合的速度较慢之间提供了一个理想的桥梁。
