1997
DOI: 10.1111/j.1476-5381.1997.tb06793.x
|View full text |Cite
|
Sign up to set email alerts
|

Some Quantitative Uses of Drug Antagonists

Abstract: Various applications of pAx measurements are discussed based on the hypothesis that drugs and drug antagonists compete for receptors according to the mass law. Examples are given illustrating the use of pAx measurements to identify agonists which act on the same receptors and to compare the receptors of different tissues. Tests of competitive and noncompetitive antagonism are considered in relation to the antagonisms acetylcholine‐atropine, histamine‐atropine and acetylcholine‐cinchonidine. A new measure, pAh,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

5
217
0

Year Published

1997
1997
2017
2017

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 208 publications
(224 citation statements)
references
References 25 publications
5
217
0
Order By: Relevance
“…The pA 2 value for antagonists, as defined by Arunlakshana and Schild,14 was obtained from linear regression of mean log values (Dr−1) against the negative log of the antagonist concentration. Computer analysis was performed according to Tallarida and Murray 15…”
Section: Methodsmentioning
confidence: 99%
“…The pA 2 value for antagonists, as defined by Arunlakshana and Schild,14 was obtained from linear regression of mean log values (Dr−1) against the negative log of the antagonist concentration. Computer analysis was performed according to Tallarida and Murray 15…”
Section: Methodsmentioning
confidence: 99%
“…The pA 2 for antagonists, as defined by Arunlakshana and Schild, 34 was obtained from linear regression of the mean of the log (DR-1) against the negative log of the antagonist concentration. The negative logarithm of the dissociation constant (pK B ) was calculated using the Cheng-Prusoff equation.…”
Section: Calculations and Statistical Analysismentioning
confidence: 99%
“…Concentration response curves were generated for each insert and an EC50 determined for each insert by fitting the data with a logistic equation using Origin (Originlab). These data were then used to calculate "dose ratio – 1" values for use in a Schild plot [24] as discussed below.…”
Section: Methodsmentioning
confidence: 99%
“…These values were then used to estimate the shift of the concentration-response relationships for ACh, by the various antagonists used. The shifts in these relationships were plotted as log (dose ratio-1) versus -log (inhibitor concentration) according to the method of Arunlakshana and Schild [24]. This should yield a plot with a slope of 1 and an X-intercept equal to pA 2 , an estimate of the antagonist affinity for the particular receptor being activated.…”
Section: Methodsmentioning
confidence: 99%