首站-论文投稿智能助手
典型文献
Green biomanufacturing promoted by automatic retrobiosynthesis planning and computational enzyme design
文献摘要:
Biomanufacturing,which uses renewable resources as raw materials and uses biological processes to pro-duce energy and chemicals,has long been regarded as a production model that replaces the unsustain-able fossil economy.The construction of non-natural and efficient biosynthesis routes of chemicals is an important goal of green biomanufacturing.Traditional methods that rely on experience are difficult to support the realization of this goal.However,with the rapid development of information technology,the intelligence of biomanufacturing has brought hope to achieve this goal.Retrobiosynthesis and com-putational enzyme design,as two of the main technologies in intelligent biomanufacturing,have devel-oped rapidly in recent years and have made great achievements and some representative works have demonstrated the great value that the integration of the two fields may bring.To achieve the final inte-gration of the two fields,it is necessary to examine the information,methods and tools from a bird's-eye view,and to find a feasible idea and solution for establishing a connection point.For this purpose,this article briefly reviewed the main ideas,methods and tools of the two fields,and put forward views on how to achieve the integration of the two fields.
文献关键词:
作者姓名:
Ziheng Cui;Shiding Zhang;Shengyu Zhang;Biqiang Chen;Yushan Zhu;Tianwei Tan
作者机构:
National Energy R&D Center for Biorefinery,College of Life Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China
引用格式:
[1]Ziheng Cui;Shiding Zhang;Shengyu Zhang;Biqiang Chen;Yushan Zhu;Tianwei Tan-.Green biomanufacturing promoted by automatic retrobiosynthesis planning and computational enzyme design)[J].中国化学工程学报(英文版),2022(01):6-21
A类:
biomanufacturing,retrobiosynthesis,Biomanufacturing,unsustain,Retrobiosynthesis
B类:
Green,promoted,by,automatic,planning,computational,enzyme,design,which,uses,renewable,resources,raw,materials,biological,processes,duce,energy,chemicals,has,long,been,regarded,production,model,that,replaces,fossil,economy,construction,natural,efficient,routes,important,goal,green,Traditional,methods,rely,experience,are,difficult,support,realization,this,However,development,information,technology,intelligence,brought,hope,two,main,technologies,intelligent,have,oped,rapidly,recent,years,made,great,achievements,some,representative,works,demonstrated,value,integration,fields,may,bring,To,final,necessary,examine,tools,from,bird,eye,find,feasible,solution,establishing,connection,point,For,purpose,article,briefly,reviewed,ideas,forward,views,how
AB值:
0.52133
相似文献
2022 roadmap on hydrogen energy from production to utilizations
Zheng-Xuan Yang;Xiu-Gang Li;Qi-Lu Yao;Zhang-Hui Lu;Ning Zhang;Jun Xia;Kai Yang;Yu-Qing Wang;Kan Zhang;Hai-Zhen Liu;Liu-Ting Zhang;Huai-Jun Lin;Qing-Jun Zhou;Fang Wang;Zhi-Ming Yu;Jian-Min Ma-School of Physics and Electronics,Hunan University,Changsha 410082,China;Key Laboratory of Functional Small Molecules for Ministry of Education,College of Chemistry and Chemical Engineering,Jiangxi Normal University,Nanchang 330022,China;College of Material and Chemical Engineering,Tongren University,Tongren 554300,China;School of Materials Science and Engineering,Central South University,Changsha 410083,China;School of Chemistry and Chemical Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;School of Materials Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;Guangxi Novel Battery Materials Research Center of Engineering Technology,Guangxi Key Laboratory of Processing for Non-Ferrous Metallic and Featured Materials,Guangxi Colleges and Universities Key Laboratory of Novel Energy Materials and Related Technology,School of Physical Science and Technology,Guangxi University,Nanning 530004,China;School of Energy and Power,Jiangsu University of Science and Technology,Zhenjiang 212003,China;Institute of Advanced Wear and Corrosion Resistance and Functional Materials,Jinan University,Guangzhou 510632,China;College of Science,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Materials Science and Engineering,Changchun University of Science and Technology,Changchun 130022,China;School of Materials and Energy,University of Electronic Science and Technology of China,Chengdu 611731,China
Harvesting random embedding for high-frequency change-point detection in temporal complex systems
Jia-Wen Hou;Huan-Fei Ma;Dake He;Jie Sun;Qing Nie;Wei Lin-Research Institute of Intelligent Complex Systems,Fudan University,Shanghai 200433,China;Centre for Computational Systems Biology,Institute of Science and Technology for Brain-Inspired Intelligence,Fudan University,Shanghai 200433,China;School of Mathematical Sciences,Soochow University,Suzhou 215006,China;Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200092,China;School of Mathematical Sciences and Shanghai Center for Mathematical Sciences,Fudan University,Shanghai 200433,China;Department of Mathematics,Department of Developmental and Cell Biology,and NSF-Simons Center for Multiscale Cell Fate Research,University of California,Irvine,CA 92697-3875,USA;Shanghai Key Laboratory for Contemporary Applied Mathematics,LNMS(Fudan University),and LCNBI(Fudan University),Shanghai 200433,China;State Key Laboratory of Medical Neurobiology,and MOE Frontiers Center for Brain Science,Institutes of Brain Science,Fudan University,Shanghai 200032,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。