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Statistical versus stochastic experimental design - an experimental comparison on the example of protein refolding.
MedLine Citation:
PMID:  22961887     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Optimization of experimental problems is a challenging task in both engineering and science. In principle, two different design of experiments (DOE) strategies exist: statistical and stochastic methods. Both aim to efficiently and precisely identify optimal solutions inside the problem specific search space. Here we evaluate and compare both strategies on the same experimental problem, the optimization of the refolding conditions of the lipase from Thermomyces lanuginosus with 26 variables under study. Protein refolding is one of the main bottlenecks in the process development for recombinant proteins. Despite intensive effort, the prediction of refolding from sequence information alone is still not applicable today. Instead, suitable refolding conditions are typically derived empirically in large screening experiments. Thus, protein refolding should constitute a good performance test for DOE strategies. © 2012 American Institute of Chemical Engineers Biotechnol. Prog., 2012.
Authors:
Bernd Anselment; Veronika Schoemig; Christopher Kesten; Dirk Weuster-Botz
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-7
Journal Detail:
Title:  Biotechnology progress     Volume:  -     ISSN:  1520-6033     ISO Abbreviation:  Biotechnol. Prog.     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-9-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8506292     Medline TA:  Biotechnol Prog     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 American Institute of Chemical Engineers (AIChE).
Affiliation:
Lehrstuhl für Bioverfahrenstechnik, Technische Universität München, Boltzmannstr. 15, D-85748 Garching, Germany.
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