Quantitative Microdialysis: Experimental Protocol and Software for Small Molecule Protein Affinity Determination and for Exclusion of Compounds with Poor Physicochemical Properties.

KD determination affinity determination aggregation chromatography dialysis drug discovery label free screening nonspecific binding promiscuity protein binding analysis

Journal

Methods and protocols
ISSN: 2409-9279
Titre abrégé: Methods Protoc
Pays: Switzerland
ID NLM: 101720073

Informations de publication

Date de publication:
30 Jul 2020
Historique:
received: 29 06 2020
revised: 14 07 2020
accepted: 21 07 2020
entrez: 6 8 2020
pubmed: 6 8 2020
medline: 6 8 2020
Statut: epublish

Résumé

Quantitative microdialysis is a traditional biophysical affinity determination technique. In the development of the detailed experimental protocol presented, we used commercially available equipment, rapid equilibrium dialysis (RED) devices (ThermoFisher Scientific), which means that it is open to most laboratories. The target protein and test compound are incubated in a chamber partitioned to allow only small molecules to transition to a larger reservoir chamber, then reversed-phase high performance liquid chromatography (RP-HPLC) or liquid chromatography-mass spectrometry (LC-MS) is used to determine the abundance of compound in each chamber. A higher compound concentration measured in the chamber that contains the target protein indicates binding. As a novel, and differentiating contribution, we present a protocol for mathematical analysis of experimental data. We provide the equations and the software to yield dissociation constants for the test compound-target protein complex up to 0.5 mM K

Identifiants

pubmed: 32751503
pii: mps3030055
doi: 10.3390/mps3030055
pmc: PMC7563421
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Medical Research Council
ID : Strategic Grant
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 201531/Z/16/Z
Pays : United Kingdom
Organisme : Scottish Universities Life Sciences Alliance
ID : Strategic Grant

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Auteurs

Steven Shave (S)

School of Biological Sciences, IQB3, University of Edinburgh, The King's Buildings, Max Born Crescent, CH Waddington Building, Edinburgh, Scotland EH9 3BF, UK.

Nhan T Pham (NT)

School of Biological Sciences, IQB3, University of Edinburgh, The King's Buildings, Max Born Crescent, CH Waddington Building, Edinburgh, Scotland EH9 3BF, UK.

Connor B Śmieja (CB)

School of Biological Sciences, IQB3, University of Edinburgh, The King's Buildings, Max Born Crescent, CH Waddington Building, Edinburgh, Scotland EH9 3BF, UK.

Manfred Auer (M)

School of Biological Sciences, IQB3, University of Edinburgh, The King's Buildings, Max Born Crescent, CH Waddington Building, Edinburgh, Scotland EH9 3BF, UK.
School of Biological Sciences and Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, The King's Buildings, Edinburgh EH9 3BF, UK.

Classifications MeSH