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Quantifying the Interactions between Biomolecules: Guidelines for Assay Design and Data Analysis.

Authors
  • Tonge, Peter J1
  • 1 Center for Advanced Study of Drug Action, Departments of Chemistry and Radiology , Stony Brook University , John S. Toll Drive , Stony Brook , New York 11794-3400 , United States. , (United States)
Type
Published Article
Journal
ACS Infectious Diseases
Publisher
American Chemical Society
Publication Date
Jun 14, 2019
Volume
5
Issue
6
Pages
796–808
Identifiers
DOI: 10.1021/acsinfecdis.9b00012
PMID: 30860805
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The accurate and precise determination of binding interactions plays a central role in fields such as drug discovery where structure-activity relationships guide the selection and optimization of drug leads. Binding is often assessed by monitoring the response caused by varying one of the binding partners in a functional assay or by using methods where the concentrations of free and/or bound ligand can be directly determined. In addition, there are also many approaches where binding leads to a change in the properties of the binding partner(s) that can be directly quantified such as an alteration in mass or in a spectroscopic signal. The analysis of data resulting from these techniques invariably relies on computer software that enable rapid fitting of the data to nonlinear multiparameter equations. The objective of this Perspective is to serve as a reminder of the basic assumptions that are used in deriving these equations and thus that should be considered during assay design and subsequent data analysis. The result is a set of guidelines for authors considering submitting their work to journals such as ACS Infectious Diseases.

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