Literature DB >> 24980646

Fitting and handling dose response data.

Gareth Jones1.   

Abstract

The half maximal response of any compound in a biological system is a fundamental measure of the compound's potency whether the activity of the compound is beneficial or detrimental. As such, the estimation of this response as an Ec50 or an Ic50 results in a value that has fundamental significance in the determination of the potential of a compound. A collection of these values provide an invaluable data framework for understanding structure-activity relationships and computational method development and benchmarking. Therefore, understanding the errors and reproducibility issues associated with Ic50 determinations is essential for their robust calculation. This paper will discuss the practical approaches to the use of the Levenberg-Marquardt minimization method to fit dose response data and evaluate the resultant data in a statistically rigorous way.

Mesh:

Year:  2014        PMID: 24980646     DOI: 10.1007/s10822-014-9752-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  10 in total

1.  Assessing the (a)symmetry of concentration-effect curves: empirical versus mechanistic models.

Authors:  Jesús Giraldo; Nuria M Vivas; Elisabet Vila; Albert Badia
Journal:  Pharmacol Ther       Date:  2002-07       Impact factor: 12.310

2.  The errors of our ways: taking account of error in computer-aided drug design to build confidence intervals for our next 25 years.

Authors:  Terry Richard Stouch
Journal:  J Comput Aided Mol Des       Date:  2012-01-14       Impact factor: 3.686

3.  Exploiting domain knowledge for improved quantitative high-throughput screening curve fitting.

Authors:  Charles Bergeron; Gregory Moore; Michael Krein; Curt M Breneman; Kristin P Bennett
Journal:  J Chem Inf Model       Date:  2011-11-01       Impact factor: 4.956

4.  The experimental uncertainty of heterogeneous public K(i) data.

Authors:  Christian Kramer; Tuomo Kalliokoski; Peter Gedeck; Anna Vulpetti
Journal:  J Med Chem       Date:  2012-05-29       Impact factor: 7.446

5.  Inference by eye: confidence intervals and how to read pictures of data.

Authors:  Geoff Cumming; Sue Finch
Journal:  Am Psychol       Date:  2005 Feb-Mar

6.  The five-parameter logistic: a characterization and comparison with the four-parameter logistic.

Authors:  Paul G Gottschalk; John R Dunn
Journal:  Anal Biochem       Date:  2005-08-01       Impact factor: 3.365

Review 7.  Healthy skepticism: assessing realistic model performance.

Authors:  Scott P Brown; Steven W Muchmore; Philip J Hajduk
Journal:  Drug Discov Today       Date:  2009-04       Impact factor: 7.851

8.  Analysis and comparison of sigmoidal curves: application to dose-response data.

Authors:  J B Meddings; R B Scott; G H Fick
Journal:  Am J Physiol       Date:  1989-12

9.  The use of non-linear regression analysis and the F test for model discrimination with dose-response curves and ligand binding data.

Authors:  W G Bardsley; P B McGinlay
Journal:  J Theor Biol       Date:  1987-05-21       Impact factor: 2.691

10.  Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose-response curves.

Authors:  A DeLean; P J Munson; D Rodbard
Journal:  Am J Physiol       Date:  1978-08
  10 in total
  3 in total

1.  Statistics in molecular modeling: a summary.

Authors:  Anthony Nicholls
Journal:  J Comput Aided Mol Des       Date:  2016-03-21       Impact factor: 3.686

2.  Modeling error in experimental assays using the bootstrap principle: understanding discrepancies between assays using different dispensing technologies.

Authors:  Sonya M Hanson; Sean Ekins; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2015-12-17       Impact factor: 3.686

3.  A New Method to Test Molluscicides against the Philippine Schistosomiasis Snail Vectors.

Authors:  Darwin C Gomez; Neil Anacta
Journal:  J Parasitol Res       Date:  2020-01-29
  3 in total

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