The Impact of Systems Biology on Bioprocessing

Trends in Biotechnology

Volumn 35, Issue 12, 2017, Pages 1156-1168

  Campbell, Kate ^a   Xia, Jianye ^a,b   Nielsen, Jens ^a,c  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^b EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Chalmers University of Technology   (Denmark)

Author keywords

cell factory; GEMs; metabolism; omics; systems biology

Indexed keywords

COMPUTATIONAL METHODS; CYTOLOGY; DATA HANDLING; DIGITAL STORAGE; FOSSIL FUELS; GEMS; GENES; INFORMATION ANALYSIS; LEARNING SYSTEMS; METABOLISM; PHYSIOLOGY;

ALTERNATIVE TO FOSSIL FUELS; CELLULAR PHYSIOLOGY; CHEMICAL PRODUCTION; COMPUTATIONAL MODEL; GENOME WIDE ANALYSIS; OMICS; REGULATORY STRUCTURE; SYSTEMS BIOLOGY;

PLANT SHUTDOWNS;

RECOMBINANT PROTEIN; PROTEOME;

BIOLOGY; BIOPROCESSING; CARBOHYDRATE METABOLISM; CARBON METABOLISM; CELL FUNCTION; COMPUTATIONAL FLUID DYNAMICS; CRISPR CAS SYSTEM; FERMENTATION TECHNIQUE; METABOLIC ENGINEERING; METABOLOMICS; MICROBIAL BIOMASS; NONHUMAN; PRIORITY JOURNAL; PROTEIN SYNTHESIS; PROTEOMICS; RENEWABLE ENERGY; REVIEW; SYSTEMS BIOLOGY; TRANSCRIPTOMICS; BACTERIUM; BIOTECHNOLOGY; COMPUTER SIMULATION; FUNGUS; GENETICS; GENOME-WIDE ASSOCIATION STUDY; HUMAN; METABOLISM; METABOLOME; PROCEDURES; THEORETICAL MODEL; TRENDS;

BACTERIA; BIOTECHNOLOGY; COMPUTER SIMULATION; FUNGI; GENOME-WIDE ASSOCIATION STUDY; HUMANS; METABOLIC ENGINEERING; METABOLOME; MODELS, THEORETICAL; PROTEOME; SYSTEMS BIOLOGY;

EID: 85030540936     PISSN: 01677799     EISSN: 18793096     Source Type: Journal    
DOI: 10.1016/j.tibtech.2017.08.011     Document Type: Review

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