The use of quantitative structure-activity relationship models to develop optimized processes for the removal of tobacco host cell proteins during biopharmaceutical production

Journal of Chromatography A

Volumn 1322, Issue , 2013, Pages 18-28

  Buyel, J F ^a   Woo, J A ^b   Cramer, S M ^b   Fischer, R ^a,c  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b Rensselaer Polytechnic Institute   (United States)

^c FRAUNHOFER INSTITUTE FOR MOLECULAR BIOLOGY AND APPLIED ECOLOGY IME   (Germany)

Author keywords

Homology modeling; Prediction of separation; Protein chromatography; QSAR model; Tobacco host cell proteins

Indexed keywords

CHROMATOGRAPHY; COMPUTATIONAL CHEMISTRY; MASS SPECTROMETRY; MATHEMATICAL MODELS; MOLECULAR GRAPHICS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REMOVAL; TOBACCO; X RAY CRYSTALLOGRAPHY;

CURRENT GOOD MANUFACTURING PRACTICES; HOMOLOGY MODELING; HOST CELL PROTEIN; PROCESS-RELATED IMPURITIES; PROTEIN CHROMATOGRAPHY; QSAR MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING;

RECOMBINANT PROTEINS;

CELL PROTEIN; VEGETABLE PROTEIN;

ARTICLE; CONTROLLED STUDY; DRUG MANUFACTURE; HOST CELL; MASS SPECTROMETRY; MOLECULAR MODEL; NONHUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; PROTEIN DETERMINATION; PROTEIN ISOLATION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SEPARATION TECHNIQUE; STRUCTURAL HOMOLOGY; TOBACCO; X RAY CRYSTALLOGRAPHY;

MAMMALIA; NICOTIANA TABACUM;

HOMOLOGY MODELING; PREDICTION OF SEPARATION; PROTEIN CHROMATOGRAPHY; QSAR MODEL; TOBACCO HOST CELL PROTEINS;

CRYSTALLOGRAPHY, X-RAY; MASS SPECTROMETRY; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PLANT PROTEINS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RECOMBINANT PROTEINS; TOBACCO;

EID: 84888406521     PISSN: 00219673     EISSN: 18733778     Source Type: Journal    
DOI: 10.1016/j.chroma.2013.10.076     Document Type: Article

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