In silico models for drug resistance

Methods in Molecular Biology

Volumn 993, Issue , 2013, Pages 39-65

  Fatumo, Segun ^a,b   Adebiyi, Marion ^a   Adebiyi, Ezekiel ^a  

^a Bio informatic Research Group Department of Computer and Information Sciences Covenant University ^*  (Nigeria)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Drug; In silico; Mechanism; Model; Resistance

Indexed keywords

CHLOROQUINE; TETRACYCLINE; TRANSCRIPTOME;

ADAPTATION; ALGORITHM; ANTIBIOTIC RESISTANCE; ARTICLE; COMPUTER MODEL; DNA MICROARRAY; GENE EXPRESSION; MACHINE LEARNING; MATHEMATICAL COMPUTING; MEASUREMENT; NONHUMAN; PLASMODIUM FALCIPARUM; PRIORITY JOURNAL; PROCEDURES; SIMULATION; ARTIFICIAL INTELLIGENCE; BIOLOGY; DRUG EFFECT; DRUG RESISTANCE; GENE INACTIVATION; GENETICS; HUMAN; METABOLISM; METHODOLOGY; MUTATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHLOROQUINE; COMPUTATIONAL BIOLOGY; DRUG RESISTANCE; GENE KNOCKOUT TECHNIQUES; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MUTATION; PLASMODIUM FALCIPARUM; TETRACYCLINE; TRANSCRIPTOME;

EID: 84934443206     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-62703-342-8_4     Document Type: Article

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