Computational modeling in nanomedicine: Prediction of multiple antibacterial profiles of nanoparticles using a quantitative structure-activity relationship perturbation model

Nanomedicine

Volumn 10, Issue 2, 2015, Pages 193-204

  Speck Planche, Alejandro ^a   Kleandrova, Valeria V ^a   Luan, Feng ^b   Ds Cordeiro, Maria Natália ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b YANTAI UNIVERSITY   (China)

Author keywords

antibacterial activity; moving average approach; nanoparticle; perturbation; QSAR

Indexed keywords

COPPER; NANOMATERIAL; NANOPARTICLE; SILVER; ALLOY; ANTIINFECTIVE AGENT;

ACCURACY; ANTIBACTERIAL ACTIVITY; ARTICLE; CHEMICAL COMPOSITION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NANOMEDICINE; PARTICLE SIZE; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SURFACE PROPERTY; CHEMISTRY; DRUG EFFECTS; ESCHERICHIA COLI; MICROBIAL SENSITIVITY TEST; PROCEDURES; STAPHYLOCOCCUS AUREUS;

ALLOYS; ANTI-BACTERIAL AGENTS; ESCHERICHIA COLI; MICROBIAL SENSITIVITY TESTS; NANOMEDICINE; NANOPARTICLES; NANOSTRUCTURES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; STAPHYLOCOCCUS AUREUS;

EID: 84921519852     PISSN: 17435889     EISSN: 17486963     Source Type: Journal    
DOI: 10.2217/nnm.14.96     Document Type: Article

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