Literature DB >> 11583589

The result of equilibrium-constant calculations strongly depends on the evaluation method used and on the type of experimental errors.

H Fuchs1, R Gessner.   

Abstract

The determination of equilibrium constants is a widespread tool both to understand and to characterize protein-protein interactions. A variety of different methods, among them Scatchard analysis, is used to calculate these constants. Although more than 1000 articles dealing with equilibrium constants are published every year, the effects of experimental errors on the results are often disregarded when interpreting the data. In the present study we theoretically analysed the effect of various types of experimental errors on equilibrium constants derived by three different methods. A computer simulation clearly showed that certain experimental errors, namely inaccurate background correction, inexact calibration, saturation effects, slow kinetics and simple scattering, can adversely affect the result. The analysis further revealed that, for a given type of error, the same data set can produce different results depending on the method used.

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Year:  2001        PMID: 11583589      PMCID: PMC1222161          DOI: 10.1042/0264-6021:3590411

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  21 in total

1.  Determination of kinetic constants for the interaction between a monoclonal antibody and peptides using surface plasmon resonance.

Authors:  D Altschuh; M C Dubs; E Weiss; G Zeder-Lutz; M H Van Regenmortel
Journal:  Biochemistry       Date:  1992-07-14       Impact factor: 3.162

2.  Quantitative evaluation of indirect ELISA. Effect of calmodulin antagonists on antibody binding to calmodulin.

Authors:  K Liliom; F Orosz; L Horváth; J Ovádi
Journal:  J Immunol Methods       Date:  1991-09-20       Impact factor: 2.303

3.  Influence of systematic error on the shape of the scatchard plot of tRNAPhe binding to eukaryotic ribosomes.

Authors:  S A Nekhai; V E Beletzkij; D M Graifer
Journal:  Biochem J       Date:  1997-07-15       Impact factor: 3.857

4.  Correct use of Scatchard plots.

Authors:  J Crabbe
Journal:  Trends Biochem Sci       Date:  1990-01       Impact factor: 13.807

5.  Misuse of nonlinear Scatchard plots.

Authors:  K Zierler
Journal:  Trends Biochem Sci       Date:  1989-08       Impact factor: 13.807

6.  Determination of antibody affinity by ELISA with a non-linear regression program. Evaluation of linearized approximations.

Authors:  R W Glaser
Journal:  J Immunol Methods       Date:  1993-03-15       Impact factor: 2.303

7.  Direct calibration ELISA: a rapid method for the simplified determination of association constants of unlabeled biological molecules.

Authors:  H Fuchs; G Orberger; R Tauber; R Gessner
Journal:  J Immunol Methods       Date:  1995-12-27       Impact factor: 2.303

8.  Statistical limits in Scatchard analysis.

Authors:  H A Feldman
Journal:  J Biol Chem       Date:  1983-11-10       Impact factor: 5.157

9.  Number of receptor sites from Scatchard and Klotz graphs: a constructive critique.

Authors:  P J Munson; D Rodbard
Journal:  Science       Date:  1983-05-27       Impact factor: 47.728

10.  Kinetic studies on the immobilization of antibodies to high-performance liquid chromatographic supports.

Authors:  M R Oates; W Clarke; E M Marsh; D S Hage
Journal:  Bioconjug Chem       Date:  1998 Jul-Aug       Impact factor: 4.774

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  2 in total

1.  Evaluation of the flow-dialysis technique for analysis of protein-ligand interactions: an experimental and a monte carlo study.

Authors:  Gertjan Veldhuis; Erwin P P Vos; Jaap Broos; Bert Poolman; Ruud M Scheek
Journal:  Biophys J       Date:  2004-04       Impact factor: 4.033

2.  Curcumin modulates α-synuclein aggregation and toxicity.

Authors:  Pradeep K Singh; Vasudha Kotia; Dhiman Ghosh; Ganesh M Mohite; Ashutosh Kumar; Samir K Maji
Journal:  ACS Chem Neurosci       Date:  2012-12-17       Impact factor: 4.418

  2 in total

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