Recent development of computational resources for new antibiotics discovery

Current Opinion in Microbiology

Volumn 39, Issue , 2017, Pages 113-120

  Kim, Hyun Uk ^a,b   Blin, Kai ^a   Lee, Sang Yup ^a,b   Weber, Tilmann ^a  

^a Technical University of Denmark   (Denmark)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTIC AGENT; CHEMICAL COMPOUND; DRUG METABOLITE; ANTIINFECTIVE AGENT;

BIOINFORMATICS; BIOSYNTHESIS; BIOSYNTHETIC GENE CLUSTER; CHEMICAL ANALYSIS; CHEMINFORMATIC COMPOUND IDENTIFICATION; COMPUTATIONAL RESOURCE; DATA BASE; DATA MINING; DRUG IDENTIFICATION; GENE CLUSTER; GENE REPLICATION; GENOME ANALYSIS; GENOME MINING TOOL; MATHEMATICAL COMPUTING; REVIEW; SECONDARY METABOLITE BIOINFORMATICS PORTAL; BACTERIAL GENOME; BACTERIUM; DRUG DEVELOPMENT; GENETICS; GENOMICS; METABOLISM; MULTIGENE FAMILY; PROCEDURES;

ANTI-BACTERIAL AGENTS; BACTERIA; DATA MINING; DRUG DISCOVERY; GENOME, BACTERIAL; GENOMICS; MULTIGENE FAMILY;

EID: 85034608709     PISSN: 13695274     EISSN: 18790364     Source Type: Journal    
DOI: 10.1016/j.mib.2017.10.027     Document Type: Review

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