Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Pharmaceu...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Pharmaceutical Sciences
Article . 1974 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 2 versions
addClaim

Kinetic Approach to Drug-Protein Binding

Authors: J S, Robertson; B W, Madsen;

Kinetic Approach to Drug-Protein Binding

Abstract

Since estimates in the literature for the fundamental binding parameters of dicumarol to bovine serum albumin show wide disparity, these phenomena were reinvestigated, using a nonequilibrium partitioning technique. A three-phase system was used consisting of an aqueous drug-protein phase and a separate aqueous receiving phase, both in mutual contact with a third overlying immiscible organic phase. The phases were contained in a partitioned, temperature-controlled cylindrical glass cell which could be rotated along its horizontal axis to effect gentle yet thorough mixing and drug transfer. Free (unbound) drug diffused from the protein phase sequentially into the other phases where it was analyzed. This technique allowed estimates of free and bound drug to be made over a very wide range of drug-protein ratios, using a single drug-protein solution, in a short time. Data analysis using an iterative, nonlinear, least-squares computer program indicated that there were two classes of binding sites with the following characteristics; n1 = 2.3 ± 0.15, K1 = (1.8 ± 0.23) x 105 M- 1; n2 = 14.0 ± 0.71, K2 = (3.0 ± 0.36) x 103 M− 1. A computer-solved theoretical treatment of drug transfer within the cell showed good correlation with the experimental results. The rotating cell technique possesses a flexibility in adjustment of operational parameters which should suit it to the study of the binding characteristics of various compounds.

Related Organizations
Keywords

Dicumarol, Kinetics, Protein Denaturation, Time Factors, Computers, Spectrophotometry, Ultraviolet, Dialysis, Mathematics, Protein Binding

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!