Artificial neural networks for qualitative and quantitative analysis of target proteins with polymerized liposome vesicles

Analytical Biochemistry

Volumn 361, Issue 1, 2007, Pages 109-119

  Santos, Marina ^a   Nadi, Suad ^a   Goicoechea, Hector C ^a   Haldar, Manas K ^a   Campiglia, Andres D ^a   Mallik, Sanku ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Artificial neural network; Carbonic anhydrase; Human serum albumin; Lanthanide ions; Luminescence; Partial least squares; Polymerized liposomes; Globulins

Indexed keywords

BINARY MIXTURES; EUROPIUM COMPOUNDS; LEAST SQUARES APPROXIMATIONS; LIPOSOMES; LUMINESCENCE; NEURAL NETWORKS; RARE EARTH ELEMENTS;

HUMAN SERUM ALBUMINS; LANTHANIDE ION; LUMINESCENCE ENHANCEMENTS; PARTIAL LEAST SQUARE (PLS); PROTEIN CONCENTRATIONS; PROTEIN IDENTIFICATION; QUALITATIVE AND QUANTITATIVE ANALYSIS; QUANTITATIVE AND QUALITATIVE ANALYSIS;

CARBONIC ANHYDRASE;

CARBONATE DEHYDRATASE; EDETIC ACID; EUROPIUM; HUMAN SERUM ALBUMIN; IMMUNOGLOBULIN; LANTHANIDE; LIPOSOME; POLYMERIZED LIPOSOME; THERMOLYSIN; UNCLASSIFIED DRUG;

ANALYTIC METHOD; AQUEOUS SOLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; HUMAN; LUMINESCENCE; PARAMETER; POLYMERIZATION; PRIORITY JOURNAL; PROTEIN ANALYSIS; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; QUANTITATIVE ASSAY; REGRESSION ANALYSIS; SENSOR; SEPARATION TECHNIQUE;

EID: 33845864728     PISSN: 00032697     EISSN: 10960309     Source Type: Journal    
DOI: 10.1016/j.ab.2006.11.019     Document Type: Article

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