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Volumn , Issue , 2011, Pages 831-832

Machine learning for drug design, molecular machines and evolvable artificial cells

Author keywords

cell free expression system; fitness function; fusion; high throughput screening; life cycle; liposome

Indexed keywords

ARTIFICIAL CELL; CELL-FREE EXPRESSION; CHEMICAL SYSTEMS; DRUG DESIGN; DRUG FORMULATIONS; EVOLVABLE; FITNESS FUNCTIONS; GREEN FLUORESCENT PROTEIN; HIGH DIMENSIONAL SPACES; HIGH THROUGHPUT SCREENING; IN-VITRO; LIPID VESICLES; LIQUID HANDLING; MACHINE-LEARNING; METABOLIC SYSTEMS; MOLECULAR COMPONENTS; MOLECULAR MACHINES; MOLECULAR SPECIES; NON-TRIVIAL; ROBOTIC WORKSTATION; SUB-SYSTEMS; VESICLE FUSION;

EID: 80051944283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2001858.2002111     Document Type: Conference Paper
Times cited : (3)

References (10)
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  • 6
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    • Detection of Association and Fusion of Giant Vesicles Using a Fluorescence-Activated Cell Sorter
    • Sunami T*. Caschera F*, et al., Detection of Association and Fusion of Giant Vesicles Using a Fluorescence-Activated Cell Sorter, Langmuir 26: 15098-15103. 2010
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  • 7
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.