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一种基于约束的全基因组规模方法用于人类代谢的系统生物学研究。

A genome-scale, constraint-based approach to systems biology of human metabolism.

作者信息

Mo Monica L, Jamshidi Neema, Palsson Bernhard Ø

机构信息

University of California, San Diego, 9500 Gilman Dr. 0412, La Jolla, CA 92093-0412, USA.

出版信息

Mol Biosyst. 2007 Sep;3(9):598-603. doi: 10.1039/b705597h. Epub 2007 Jul 11.

Abstract

The recent sequencing and annotation of the human genome enables a new era in biomedicine that will be based on an interdisciplinary, systemic approach to the elucidation and treatment of human disease. Reconstruction of genome-scale metabolic networks is an important part of this approach since networks represent the integration of diverse biological data such as genome annotations, high-throughput data, and legacy biochemical knowledge. This article will describe Homo sapiens Recon 1, a functionally tested, genome-scale reconstruction of human cellular metabolism, and its capabilities for facilitating the understanding of physiological and disease metabolic states.

摘要

人类基因组最近的测序和注释开启了生物医学的新纪元,这一纪元将基于跨学科的系统方法来阐释和治疗人类疾病。基因组规模代谢网络的重建是该方法的重要组成部分,因为网络代表了多种生物数据的整合,如基因组注释、高通量数据和传统生化知识。本文将描述智人代谢重建1(Homo sapiens Recon 1),这是一个经过功能测试的人类细胞代谢的基因组规模重建,及其在促进理解生理和疾病代谢状态方面的能力。

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