Thiele2013 - Appendix lymphoid tissue

Thiele2013 - Appendix lymphoid tissue

The model of appendix lymphoid tissue metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).

This model is described in the article:

A community-driven global reconstruction of human metabolism.

Thiele I, et al
.
Nature Biotechnology
Abstract:

Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.

This model is hosted on BioModels Database
and identified by: MODEL1310110032
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.

To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.

Thiele2013 - 阑尾淋巴组织

本阑尾淋巴组织代谢模型源自社区驱动的人类代谢组全局重构（版本2.02，标识符MODEL1109130000）。

本模型的相关研究论文为：《社区驱动的人类代谢组全局重构》（A community-driven global reconstruction of human metabolism），作者为Thiele I等，发表于《自然·生物技术》（Nature Biotechnology）。

摘要：
既往已构建多个人类代谢组模型，但每一款均仅覆盖了当前人类认知的一部分。本文报道了Recon 2——一款社区驱动的共识性代谢重构（metabolic reconstruction）模型，它是目前可用于计算建模（computational modeling）的最全面的人类代谢组表征。相较于前代模型，该重构在拓扑结构与功能特性上均有提升：代谢反应数量提升约2倍，独特代谢物数量提升约1.7倍。借助Recon 2，我们对49种先天性代谢错误（inborn errors of metabolism）的代谢物生物标志物变化进行了预测，与实验数据比对后准确率达77%。将代谢组学（metabolomic）数据与药物信息映射至Recon 2中，证明了其在整合与分析多类数据类型方面的潜力。基于蛋白质表达数据，我们自动生成了包含65个细胞类型特异性模型（cell type-specific models）的汇编集，为细胞特异性代谢特性的人工整理（manual curation）与研究提供了基础。Recon 2将助力诸多未来生物医学研究，且可通过http://humanmetabolism.org/免费获取。

本模型托管于生物模型数据库（BioModels Database），标识符为MODEL1310110032。

若需引用生物模型数据库，请使用：《生物模型数据库：面向已发表定量动力学模型的增强型、经整理与注释资源》（BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models）。

在法律允许的最大范围内，本编码模型的所有版权及相关邻接权利已奉献至全球公共领域。如需了解更多信息，请参阅CC0公共域授权（CC0 Public Domain Dedication）。