GORGON

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。所列机构为 中心，不一定是研究者的机构。 Gorgon是麻省理工学院的Matthew Baker和圣路易斯华盛顿大学的Tao Ju之间的软件合作，是一个交互式分子建模工具包，专门针对来自cryo-EM的亚纳米到近原子分辨率的密度图。 Gorgon为体积数据、几何骨架、二级结构元素和原子模型提供了一个全面的可视化框架。此外，gorgon提供了用于识别序列中预测的二级结构元素与体积中观察到的二级结构元素之间的对应关系的工具。根据这些对应关系，用户可以使用Gorgon提供的工具半自动或交互式地构建C-alpha主干模型。Gorgon项目的长期目标是为复杂大分子结构的完整分析、注释和建模提供一个集成环境。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Gorgon, a software collaboration between Matthew Baker at BCM and Tao Ju at Washington University in St. Louis, is an interactive molecular modeling toolkit specifically targeted at subnanometer to near-atomic resolution density maps from cryo-EM. Gorgon provides a comprehensive visualization framework for volumetric data, geometric skeletons, secondary structure elements and atomic models. Additionally, gorgon provides tools for identifying the correspondence between predicted secondary structure elements in the sequence and the observed secondary structure elements in the volume. From this correspondence,users can semi-automatically or interactively construct a C-alpha backbone model with the tools provided within Gorgon. The long-term goal of the Gorgon project is to produce an integrated environment for the complete analysis, annotation and modeling of complex macromolecular structures.