Hadadi Noushin, Hatzimanikatis Vassily
Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), CH-1015, Switzerland.
Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), CH-1015, Switzerland.
Curr Opin Chem Biol. 2015 Oct;28:99-104. doi: 10.1016/j.cbpa.2015.06.025. Epub 2015 Jul 11.
Designing putative metabolic pathways is of great interest in synthetic biology. Retrobiosynthesis is a discipline that involves the design, evaluation, and optimization of de novo biosynthetic pathways for the production of high-value compounds and drugs from renewable resources and natural or engineered enzymes. The best candidate pathways are then engineered within a metabolic network of microorganisms that serve as synthetic platforms for synthetic biology. The complexity of biological chemistry and metabolism requires computational approaches to explore the full possibilities of engineering synthetic pathways towards target compounds. Herein, we discuss recent developments in the design of computational tools for retrosynthetic biochemistry and outline the workflow and design elements for such tools.
在合成生物学中,设计假定的代谢途径极具吸引力。逆生物合成是一门涉及从头设计、评估和优化生物合成途径的学科,旨在利用可再生资源以及天然或工程酶生产高价值化合物和药物。然后,将最佳候选途径构建到微生物的代谢网络中,这些微生物作为合成生物学的合成平台。生物化学和代谢的复杂性需要借助计算方法来探索构建针对目标化合物的合成途径的所有可能性。在此,我们讨论逆合成生物化学计算工具设计的最新进展,并概述此类工具的工作流程和设计要素。