Coping with complexity: Machine learning optimization of cell-free protein synthesis

Biotechnology and Bioengineering

Volumn 108, Issue 9, 2011, Pages 2218-2228

  Caschera, Filippo ^a,b   Bedau, Mark A ^a,c   Buchanan, Andrew ^a   Cawse, James ^a,d   de Lucrezia, Davide ^e,f   Gazzola, Gianluca ^a,g   Hanczyc, Martin M ^a,b   Packard, Norman H ^a,e,h  

^a ProtoLife Inc   (United States)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^c REED COLLEGE   (United States)

^d Cawse and Effect   (United States)

^e EUROPEAN CENTRE FOR LIVING TECHNOLOGY   (Italy)

^f Labor srl   (Italy)

^g RUTGERS UNIVERSITY   (United States)

^h SANTA FE INSTITUTE   (United States)

Author keywords

Complexity; Design of experiments; Optimization; Protein expression

Indexed keywords

CELL FREE PROTEIN SYNTHESIS; COMPLEXITY; EXPERIMENTAL CONDITIONS; FIRST-PRINCIPLES; HIGH THROUGHPUT EXPERIMENTS; METABOLIC PATHWAYS; PROTEIN EXPRESSION; PROTEIN SYNTHESIS; STATISTICAL MODELS;

DESIGN; DESIGN OF EXPERIMENTS; EVOLUTIONARY ALGORITHMS; EXPERIMENTS; ISOMERS; LEARNING ALGORITHMS; NANOINDENTATION; OPTIMIZATION; PROTEINS; STOCHASTIC MODELS; THROUGHPUT;

BIOSYNTHESIS;

ARTICLE; CELL FREE SYSTEM; EVOLUTIONARY ALGORITHM; MACHINE LEARNING; NONHUMAN; PROTEIN EXPRESSION; PROTEIN SYNTHESIS; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOTECHNOLOGY; CELL-FREE SYSTEM; CLUSTER ANALYSIS; ESCHERICHIA COLI; EVOLUTION, MOLECULAR; HIGH-THROUGHPUT SCREENING ASSAYS; KINETICS; MODELS, GENETIC; MODELS, STATISTICAL; PROTEIN BIOSYNTHESIS;

EID: 79960464266     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.23178     Document Type: Article

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