Literature DB >> 30977282

Equilibrium, affinity, dissociation constants, IC5O: Facts and fantasies.

Jacques Barbet1, Sandrine Huclier-Markai1,2.   

Abstract

The interaction between ligands and receptors is often described in terms of 50% inhibitory concentrations (IC50). However, IC50 values do not accurately reflect the dissociation constants (Kd), and the domain of application and precision of proposed approximations for Kd estimation are unclear. The effect of affinity and of experimental conditions on the differences between IC50 and Kd has been assessed from exact mass action law calculations and from computer simulations. Competitions between [111 In]DTPA-indium and a few metal-DTPA complexes for binding to a specific antibody are discussed as a practical example. Exact calculations of competition assays have been implemented in Microsoft Excel and performed for a variety of concentrations of receptor, tracer, and competitor. The results are identical to those of software packages. IC50 is found larger than Kd by less than 20% only when tracer concentration is small compared with Kd and to the receptor concentration and when this receptor concentration is small compared with Kd. Otherwise, Kd and IC50 may be very different and approximations proposed in the literature to obtain Kd values from graphically derived IC50 are not acceptable as soon as the concentrations of tracer or of receptor approach Kd. Under most experimental conditions, IC50 values do not reflect Kd values. Using available software packages to determine and report Kd values would allow for more meaningful comparisons of results obtained under different experimental conditions.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  competition; interactions; ligands; mass action law; receptors

Year:  2019        PMID: 30977282     DOI: 10.1002/pst.1943

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  3 in total

1.  High-Throughput Identification of MHC Class I Binding Peptides Using an Ultradense Peptide Array.

Authors:  Amelia K Haj; Meghan E Breitbach; David A Baker; Mariel S Mohns; Gage K Moreno; Nancy A Wilson; Victor Lyamichev; Jigar Patel; Kim L Weisgrau; Dawn M Dudley; David H O'Connor
Journal:  J Immunol       Date:  2020-02-14       Impact factor: 5.422

2.  Drug-target affinity prediction using graph neural network and contact maps.

Authors:  Mingjian Jiang; Zhen Li; Shugang Zhang; Shuang Wang; Xiaofeng Wang; Qing Yuan; Zhiqiang Wei
Journal:  RSC Adv       Date:  2020-06-01       Impact factor: 4.036

3.  Expression, Purification and Refolding of a Human NaV1.7 Voltage Sensing Domain with Native-like Toxin Binding Properties.

Authors:  Ryan V Schroder; Leah S Cohen; Ping Wang; Joekeem D Arizala; Sébastien F Poget
Journal:  Toxins (Basel)       Date:  2021-10-12       Impact factor: 4.546

  3 in total

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