美國化學學會合成生物學是一個月的同行評議期刊，致力于研究合成生物學和生物系統。由麻省理工學院總編Christopher A. Voigt領導，該雜志發表了高質量的研究，展示了綜合的、分子的方法，能夠更好地理解細胞、組織和有機體在系統中的組織和功能。該雜志對設計和合成新的遺傳線路和基因產品的研究特別感興趣;系統設計中的計算方法;以及理解疾病和新陳代謝的綜合應用方法。主題可能包括但不限于:遺傳系統的設計和優化遺傳電路設計及其原理為他們組織成程序用于輔助遺傳系統設計的計算方法量化遺傳部分、電路和代謝通量的實驗方法遺傳部件庫:它們的創建、分析和本體表示蛋白質工程包括計算設計代謝工程和細胞制造，包括生物質轉化自然產品獲取、工程和生產蜂窩編程的創造性和創新性應用醫學應用、組織工程和治療細胞的編程最小單元的設計和構造基因組學和基因組替換策略病毒工程合成生物學的自動化和機器人裝配平臺DNA合成方法元基因組學和合成元基因組分析生物信息學應用于基因發現、化學信息學和通路構建基因優化基因組水平的轉錄和代謝組學測定方法系統生物學和集成多個數據源的方法體外和無細胞合成生物學和分子編程核酸工程

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