Genome-scale network reconstructions have helped uncover the molecular basis of metabolism. Here we present Recon3D, a computational resource that includes three-dimensional (3D) metabolite and protein structure data and enables integrated analyses of metabolic functions in humans. We use Recon3D to functionally characterize mutations associated with disease, and identify metabolic response signatures that are caused by exposure to certain drugs. Recon3D represents the most comprehensive human metabolic network model to date, accounting for 3,288 open reading frames (representing 17% of functionally annotated human genes), 13,543 metabolic reactions involving 4,140 unique metabolites, and 12,890 protein structures. These data provide a unique resource for investigating molecular mechanisms of human metabolism. Recon3D is available at http://vmh.life.

中文翻译：

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Recon3D 可实现人类新陈代谢中基因变异的三维视图。

基因组规模的网络重建有助于揭示新陈代谢的分子基础。在这里，我们推出 Recon3D，这是一种计算资源，其中包括三维 (3D) 代谢物和蛋白质结构数据，可以对人类代谢功能进行综合分析。我们使用 Recon3D 从功能上表征与疾病相关的突变，并识别因接触某些药物而引起的代谢反应特征。Recon3D 代表了迄今为止最全面的人类代谢网络模型，包含 3,288 个开放阅读框（代表功能注释的人类基因的 17%）、涉及 4,140 种独特代谢物的 13,543 个代谢反应以及 12,890 个蛋白质结构。这些数据为研究人类新陈代谢的分子机制提供了独特的资源。Recon3D 可从 http://vmh.life 获取。