Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Izobologrammas analīze× | Populācijas farmakodinamiskā modelēšana× | Analīze pēc Šilda (Schild Analysis)× | |
|---|---|---|---|
| Nozare | Farmakoloģija | Farmakoloģija | Farmakoloģija |
| Saime | Process / pipeline | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1926 | 1992 | 1947 |
| Autors≠ | Salvatore Loewe | Lewis Sheiner and Stephen Roush | Henry Schild |
| Tips≠ | synergy quantification | dose-response modeling | antagonism quantification |
| Pirmavots≠ | Loewe, S. (1926). Die Mischtoxizität. Zeitschrift für Experimentelle Pathologie und Therapie, 24, 315-334. link ↗ | Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57. link ↗ | Schild, H. O. (1947). pA, a new scale for the measurement of drug antagonism. Journal of Physiology, 106(3), 337-357. DOI ↗ |
| Citi nosaukumi≠ | isobol, combination index, synergy testing | PopPD, population PD, hierarchical PD modeling | Schild plot, pA2 |
| Saistītās | 3 | 3 | 3 |
| Kopsavilkums≠ | Isobologram analysis is a graphical and quantitative method for detecting and classifying drug interactions, developed by Salvatore Loewe in 1926. It uses dose-response data from two drugs applied individually and in combination to determine whether their interaction is additive, synergistic, or antagonistic. | Population pharmacodynamic (PopPD) modeling integrates pharmacokinetics with individual dose-response relationships across patient populations to characterize drug efficacy and tolerability. Pioneered by Lewis Sheiner and colleagues, PopPD accounts for inter-individual variability in drug effects and enables rational dose optimization and response prediction. | Schild analysis is a quantitative method for characterizing competitive receptor antagonism developed by Henry Schild in 1947. It uses dose-response curves in the presence and absence of antagonist to estimate the antagonist affinity constant (pA2), enabling standardized comparison of antagonist potency across drugs and experimental systems. |
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