Computational methods to identify new antibacterial targets

Chemical Biology and Drug Design

Volumn 85, Issue 1, 2015, Pages 22-29

  McPhillie, Martin J ^a,b   Cain, Ricky M ^a   Narramore, Sarah ^a   Fishwick, Colin W G ^a   Simmons, Katie J ^a,b  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

cheminformatics; molecular modeling; proteomics; therapeutic target

Indexed keywords

ANTIINFECTIVE AGENT; LIGAND; NUCLEIC ACID; PROTEIN;

ALGORITHM; ANTIBACTERIAL ACTIVITY; ANTIBIOTIC RESISTANCE; BACTERIAL GROWTH; BACTERIUM; BIOMICS; CELL DEATH; CELL GROWTH; CELL SURVIVAL; CHEMINFORMATIC; COMPUTER MODEL; DATA BASE; DRUG DEVELOPMENT; DRUG INDUSTRY; DRUG STRUCTURE; DRUG TARGETING; ENZYME INHIBITION; GENOMICS; GROWTH; GROWTH INHIBITION; HOMOLOGY MODELING; LYSIS; MODEL; MOLECULAR BIOLOGY; MOLECULAR DOCKING; PATHOGENIC BACTERIA; PHARMACOPHORE; PROTEIN ANALYSIS; REVIEW; STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; DRUG DELIVERY SYSTEM; DRUG DESIGN; PROCEDURES;

BACTERIA (MICROORGANISMS);

ANTI-BACTERIAL AGENTS; COMPUTATIONAL BIOLOGY; DRUG DELIVERY SYSTEMS; DRUG DESIGN; DRUG DISCOVERY; MODELS, BIOLOGICAL;

EID: 84918780223     PISSN: 17470277     EISSN: 17470285     Source Type: Journal    
DOI: 10.1111/cbdd.12385     Document Type: Review

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