Multi-target QSAR approaches for modeling protein inhibitors. Simultaneous prediction of activities against biomacromolecules present in Gram-negative bacteria

Current Topics in Medicinal Chemistry

Volumn 15, Issue 18, 2015, Pages 1801-1813

  Speck Planche, Alejandro ^a   Cordeiro, M N D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

Author keywords

Amino acid sequence; Inhibitor; Molecular fragment; Moving average approach; Mt QSAR; Physicochemical properties

Indexed keywords

AMINE OXIDASE (FLAVIN CONTAINING) ISOENZYME B; BACTERIAL PROTEIN; BIOMACROMOLECULE; PROTEIN INHIBITOR; RASAGILINE; UNCLASSIFIED DRUG; MACROMOLECULE; PROTEIN;

ARTICLE; DRUG ACTIVITY; GEOMETRY; GRAM NEGATIVE BACTERIUM; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; HYDROPHOBICITY; LEUKEMIA; NONHUMAN; PHYSICAL CHEMISTRY; PREDICTION; PROBABILITY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SENSITIVITY AND SPECIFICITY; STEREOISOMERISM; SURFACE AREA; ANTAGONISTS AND INHIBITORS; CHEMICAL STRUCTURE; CHEMISTRY; DRUG DEVELOPMENT; MACROMOLECULE;

DRUG DISCOVERY; GRAM-NEGATIVE BACTERIA; MACROMOLECULAR SUBSTANCES; MODELS, MOLECULAR; PROTEINS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84934758162     PISSN: 15680266     EISSN: 18734294     Source Type: Journal    
DOI: 10.2174/1568026615666150506144814     Document Type: Article

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