@article{SJIM_2024_27_4_a5,
author = {V. G. Panov},
title = {Mathematical foundations of the isobolographic method},
journal = {Sibirskij \v{z}urnal industrialʹnoj matematiki},
pages = {84--98},
year = {2024},
volume = {27},
number = {4},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/SJIM_2024_27_4_a5/}
}
V. G. Panov. Mathematical foundations of the isobolographic method. Sibirskij žurnal industrialʹnoj matematiki, Tome 27 (2024) no. 4, pp. 84-98. http://geodesic.mathdoc.fr/item/SJIM_2024_27_4_a5/
[1] Greco W. R., Bravo G., Parsons J. C., “The Search for Synergy: A Critical Review from a Response Surface Perspective”, Pharmacol. Rev., 47:2 (1995), 331–385 | DOI
[2] Tang J., Wennerberg K., Aittokallio T., “What is synergy? The Saariselkä agreement revisited”, Front. Pharmacol., 6:1 (2015), 181 | DOI
[3] Huang R.-Y., Pei L., Liu Q., Chen S., Dou H., Shu G., Yuan Z.-X., Lin J., Peng G., Zhang W., Fu H., “Isobologram Analysis: A Comprehensive Review of Methodology and Current Research”, Front. Pharmacol., 10:29 (2019), 1222 | DOI
[4] van den Berg J. P., Vereecke H. E. M., Proost J. H., Eleveld D. J., Wietasch J. K. G., Absalom A. R., Struys M. M. R. F., “Pharmacokinetic and pharmacodynamic interactions in anaesthesia. A review of current knowledge and how it can be used to optimize anaesthetic drug administration”, Br. J. Anaesth., 118:1 (2017), 44–57 | DOI | MR
[5] Short T. G., Hannam J. A., Pharmacology and Physiology for Anesthesia, Elsevier, Philadelphia, 2019
[6] Basting R. T., Spindola H. M., de Oliveira Sousa I. M., Queiroz N. C. A., Trigo J. R., de Carvalho J. J. E., Foglio M. A., “Pterodon pubescens and Cordia verbenacea association promotes a synergistic response in antinociceptive model and improves the anti-inflammatory results in animal models”, Biomed. Pharmacother., 112 (2019), 108693 | DOI
[7] Atwal N., Casey S. L., Mitchell V. A., Vaughan C. W., “THC and gabapentin interactions in a mouse neuropathic pain model”, Neuropharmacology, 144 (2019), 115–121 | DOI
[8] Luszczki J. J., Wlaz A., “Isobolographic analysis of interactions — a pre-clinical perspective”, J. Pre-Clin. Clin. Res., 17:4 (2023), 238–241 | DOI
[9] Foucquier J., Guedj M., “Analysis of drug combinations: current methodological landscape”, Pharmacol. Res. Perspect., 3:3 (2015), e00149 | DOI
[10] Garcí{a} M. A. M., Lage M. A. P., “Dose-response analysis in the joint action of two effectors: A new approach to simulation and identification and modelling of some basic interactions”, PLoS One, 8:4 (2013), e61391 | DOI
[11] Rodea-Palomares I., González-Pleiter M., Martin-Betancor K., Rosal R., Fernández-Piñas F., “Additivity and Interactions in Ecotoxicity of Pollutant Mixtures: Some Patterns, Conclusions, and Open Questions”, Toxics, 3:4 (2015), 342–369 | DOI
[12] Berenbaum M. C., “The Expected Effect of a Combination of Agents: the General Solution”, J. Theor. Biol., 114:3 (1985), 413–431 | DOI
[13] Myers R. H., Montgomery D. C., Anderson-Cook C. M, Response surface methodology: process and product optimization using designed experiments, Wiley, Hoboken, New Jersey, 2016 | MR
[14] Nazni P., Gracia J., “Application of Response Surface Methodology in the Development of Barnyard Millet Bran Incorporated Bread”, Int. J. Innov. Res. Sci. Eng. Technol., 3:9 (2014), 16041 | DOI