ACS Synthetic Biology

美国化学学会合成生物学是一个月的同行评议期刊，致力于研究合成生物学和生物系统。由麻省理工学院总编Christopher A. Voigt领导，该杂志发表了高质量的研究，展示了综合的、分子的方法，能够更好地理解细胞、组织和有机体在系统中的组织和功能。该杂志对设计和合成新的遗传线路和基因产品的研究特别感兴趣;系统设计中的计算方法;以及理解疾病和新陈代谢的综合应用方法。主题可能包括但不限于:遗传系统的设计和优化遗传电路设计及其原理为他们组织成程序用于辅助遗传系统设计的计算方法量化遗传部分、电路和代谢通量的实验方法遗传部件库:它们的创建、分析和本体表示蛋白质工程包括计算设计代谢工程和细胞制造，包括生物质转化自然产品获取、工程和生产蜂窝编程的创造性和创新性应用医学应用、组织工程和治疗细胞的编程最小单元的设计和构造基因组学和基因组替换策略病毒工程合成生物学的自动化和机器人装配平台DNA合成方法元基因组学和合成元基因组分析生物信息学应用于基因发现、化学信息学和通路构建基因优化基因组水平的转录和代谢组学测定方法系统生物学和集成多个数据源的方法体外和无细胞合成生物学和分子编程核酸工程

ACS Synthetic Biology is a monthly peer-reviewed journal dedicated to research in synthetic biology and biological systems. Led by Editor-in-Chief Christopher A. Voigt of the Massachusetts Institute of Technology, the journal publishes high-quality research that demonstrate integrative, molecular approaches enabling better understanding of the organization and function of cells, tissues, and organisms in systems.The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.Topics may include, but are not limited to:Design and optimization of genetic systemsGenetic circuit design and their principles for their organization into programsComputational methods to aid the design of genetic systemsExperimental methods to quantify genetic parts, circuits, and metabolic fluxesGenetic parts libraries: their creation, analysis, and ontological representationProtein engineering including computational designMetabolic engineering and cellular manufacturing, including biomass conversionNatural product access, engineering, and productionCreative and innovative applications of cellular programmingMedical applications, tissue engineering, and the programming of therapeutic cellsMinimal cell design and constructionGenomics and genome replacement strategiesViral engineeringAutomated and robotic assembly platforms for synthetic biologyDNA synthesis methodologiesMetagenomics and synthetic metagenomic analysisBioinformatics applied to gene discovery, chemoinformatics, and pathway constructionGene optimizationMethods for genome-scale measurements of transcription and metabolomicsSystems biology and methods to integrate multiple data sourcesin vitro and cell-free synthetic biology and molecular programmingNucleic acid engineering