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61, no. 3. P. 403436.123. Louzoun Y., Atlan H., Cohen I. R. Modeling the influence of TH1- and TH2-type cells inautoimmune diseases. // J Autoimmun. 2001. Dec. Vol. 17, no. 4. P. 311321. URL://dx.doi.org/10.1006/jaut.2001.0548.http:124. Andrew Yates, Robin Callard, Jaroslav Stark. Combining cytokine signalling with T-bet andGATA-3 regulation in Th1 and Th2 differentiation: a model for cellular decision-making.
//J Theor Biol. 2004. Nov. Vol. 231, no. 2. P. 181196. URL:1016/j.jtbi.2004.06.013.http://dx.doi.org/10.125. van den Ham H.-J., de Boer R. J. From the two-dimensional Th1 and Th2 phenotypes tohigh-dimensional models for gene regulation. // Int Immunol.P. 12691277. URL:2008. Oct.Vol. 20, no. 10.http://dx.doi.org/10.1093/intimm/dxn093.126. Yates A. Modelling pathways of CD8+ T-cell differentiation. // Eur J Immunol. 2009. Jan.Vol. 39, no. 1. P. 4749. URL:http://dx.doi.org/10.1002/eji.200839063.127.
Catastrophic shifts in ecosystems. / M. Scheffer, S. Carpenter, J. A. Foley et al. // Nature. 2001.Oct. Vol. 413, no. 6856. P. 591596. URL:http://dx.doi.org/10.1038/35098000.92128. Ðîìàíîâñêèé Þ.Ì. Ñòåïàíîâà Í.Â. ×åðíàâñêèé Ä.Ñ. Ìàòåìàòè÷åñêîå ìîäåëèðîâàíèå âáèîôèçèêå. Ì., 1975.129. Callard R. E., Yates A. J. Immunology and mathematics: crossing the divide.
// Immunology. 2005. May. Vol. 115, no. 1. P. 2133. URL:1365-2567.2005.02142.x.http://dx.doi.org/10.1111/j.130. Characterizing emergent properties of immunological systems with multi-cellular rule-basedcomputational modeling /Arvind K. Chavali,Erwin P. Gianchandani,Kenneth S. Tunghttp://www.sciencedirect.com/science/article/pii/S147149060800238X.[è äð.] // Trends in Immunology. 2008. Ò. 29, 12. Ñ. 589 599. URL:131.
Ïðîåêò IMMSIM. URL:http://www.immsim.org/.http://www.niaid.nih.gov/LABSANDRESOURCES/LABS/ABOUTLABS/LSB/Pages/simmuneproject.aspx.132. Ñòðàíèöà, ïîñâÿùåííàÿ ïðîåêòó SIMMUNE. URL:133. Forst C. V. Host-pathogen systems biology. // Drug Discov Today. 2006. Mar. Vol. 11, no. 5-6.P. 220227. URL:http://dx.doi.org/10.1016/S1359-6446(05)03735-9.134.
Kirschner D. E., Linderman J. J. Mathematical and computational approaches can complementexperimental studies of host-pathogen interactions. // Cell Microbiol. 2009. Apr. Vol. 11, no. 4.P. 531539. URL:http://dx.doi.org/10.1111/j.1462-5822.2008.01281.x.135. New insights into mathematical modeling of the immune system.
/ P. A. Morel, S. Ta'asan,B. F. Morel et al. // Immunol Res.2006.Vol. 36, no. 1-3.P. 157165. URL://dx.doi.org/10.1385/IR:36:1:157.http:136. De Lillo S., Salvatori M.C., Bellomo N. Mathematical tools of the kinetic theory of activeparticles with some reasoning on the modelling progression and heterogeneity // Mathematicalhttp://www.sciencedirect.com/science/article/pii/S0895717706002676.and Computer Modelling.2007.Ò. 45, 5-6.Ñ.
564 578. URL:137. Íîâûé ìåòîä êîìïüþòåðíîãî ìîäåëèðîâàíèÿ îáðàçîâàíèÿ áåëîê-áåëêîâûõ êîìïëåêñîâ /È. Á. Êîâàëåíêî, À. Ì. Àáàòóðîâà, Ã. Þ. Ðèçíè÷åíêî [è äð.] // Äîêëàäû Àêàäåìèè Íàóê.2009. Ò. 427, 5. Ñ. 696698.138. Ìîë÷àíîâ À.Ì. Êèíåòè÷åñêàÿ ìîäåëü èììóíèòåòà. 25.Ïðåïðèíò ÈÏÌ ÀÍ ÑÑÑÐ,1970. Ñ. 22.139. Ñìèðíîâà Î.À., Ñòåïàíîâà Í.Â. Ìàòåìàòè÷åñêàÿ ìîäåëü êîëåáàíèé ïðè èíôåêöèîííîìèììóíèòåòå // Êîëåáàòåëüíûå ïðîöåññû â áèîëîãè÷åñêèõ è õèìè÷åñêèõ ñèñòåìàõ: ÒðóäûÂòîðîãî Âñåñîþçíîãî ñèìïîçèóìà ïî êîëåáàòåëüíûì ïðîöåññàì â áèîëîãè÷åñêèõ è õèìè÷åñêèõ ñèñòåìàõ, Ïóùèíî-íà-Îêå, 23-27 íîÿáðÿ 1970 ã.
Ò. 2. Ïóùèíî-íà-Îêå: ÍÖÁÈÀÍ ÑÑÑÐ, 1971. Ñ. 247251.93140. Ñìèðíîâà Î.À. Ðàäèàöèÿ è îðãàíèçì ìëåêîïèòàþùèõ: ìîäåëüíûé ïîäõîä. Ì.-Èæåâñê:ÍÈÖ ¾Ðåãóëÿðíàÿ è õàîòè÷åñêàÿ äèíàìèêà¿; Èíñòèòóò êîìïüþòåðíûõ èññëåäîâàíèé,2006. Ñ. 224.141. Áî÷àðîâ Ã.À., Ìàð÷óê Ã.È. Ïðèêëàäíûå ïðîáëåìû ìàòåìàòè÷åñêîãî ìîäåëèðîâàíèÿ âèììóíîëîãèè // Æ.
âû÷èñë. ìàòåì. è ìàòåì. ôèç. 2000. Ò. 40, 12. Ñ. 19051920.142. Ðîìàíþõà À.À., Ðóäíåâ Ñ.Ã., Çóåâ Ñ.Ì. Àíàëèç äàííûõ è ìîäåëèðîâàíèå èíôåêöèîííûõçàáîëåâàíèé // Ñîâðåìåííûå ïðîáëåìû âû÷èñëèòåëüíîé ìàòåìàòèêè è ìàòåìàòè÷åñêîãîìîäåëèðîâàíèÿ. / ïîä ðåä. Â.Ï. Äûìíèêîâ. 2. Ì.: Íàóêà, 2005. Ñ. 352404.143. Bocharov G. A., Romanyukha A. A. Mathematical model of antiviral immune response. III.Influenza A virus infection.
// J Theor Biol. 1994. Apr. Vol. 167, no. 4. P. 323360. URL:http://dx.doi.org/10.1006/jtbi.1994.1074.144. Ðîìàíþõà À. À., Ðóäíåâ Ñ. Ã. Âàðèàöèîííûé ïðèíöèï â èññëåäîâàíèè ïðîòèâîèíôåêöèîííîãî èììóíèòåòà íà ïðèìåðå ïíåâìîíèè // Ìàò. ìîäåëèðîâàíèå. 2001. Ò. 13, 8.Ñ. 6584.145. Alexei A Romanyukha, Anatoli I Yashin. Age related changes in population of peripheral Tcells: towards a model of immunosenescence. // Mech Ageing Dev.2003.
Apr.Vol. 124,no. 4. P. 433443.146. Alexei A Romanyukha, Sergey G Rudnev, Igor A Sidorov. Energy cost of infection burden: anapproach to understanding the dynamics of host-pathogen interactions. // J Theor Biol. 2006.Jul. Vol. 241, no. 1. P. 113. URL:11.004.http://dx.doi.org/10.1016/j.jtbi.2005.147. A systems immunology approach to plasmacytoid dendritic cell function in cytopathic virusinfections.
/Pathog.Gennady Bocharov,2010.Vol. 6, no. 7.Roland Zust,Luisa Cervantes Barragan et al. // PLoSP. e1001017. URL:journal.ppat.1001017.http://dx.doi.org/10.1371/148. M. I. Levi K. V. Durikhin N. N. Basova L. M. Shmuter Yu. G. Suchkov A. V. Lipnitskii L.G. Gerasyuk. Cyclic kinetics and mathematical expression of the primary immune response tosoluble antigen // Folia Microbiologica. 1973. Ò. 18, 3.
Ñ. 229236.149. Âîëüêåíøòåéí Ì.Â. Îáùàÿ áèîôèçèêà. Ì.: Ãëàâíàÿ ðåäàêöèÿ ôèçèêî-ìàòåìàòè÷åñêîéëèòåðàòóðû èçä-âà ¾Íàóêà¿, 1978.150. Ìàð÷óê Ã.È., Ïåòðîâ Ð.Â. Âèðóñíîå ïîðàæåíèå îðãàíà è èììóíîôèçèîëîãè÷åñêèå ðåàêöèè çàùèòû : (Ìàòåìàòè÷åñêàÿ ìîäåëü). Îòä. âû÷èñë. ìàòåìàòèêè ÀÍ ÑÑÑÐ, 1983.Ñ. 12.151. Êóçíåöîâ Â.À. Äèíàìèêà èììóííûõ ïðîöåññîâ ïðè îïóõîëåâîì ðîñòå. Ì.: Íàóêà, 1992.Ñ. 340.94152. Nonlinear dynamics of immunogenic tumors:parameter estimation and global bifurcationanalysis.
/ V. A. Kuznetsov, I. A. Makalkin, M. A. Taylor et al. // Bull Math Biol. 1994. Mar.Vol. 56, no. 2. P. 295321.153. Kuznetsov V. A., Puri R. K. Kinetic analysis of high affinity forms of interleukin (IL)-13receptors: suppression of IL-13 binding by IL-2 receptor gamma chain. // Biophys J. 1999. Jul.Vol. 77, no. 1. P. 154172. URL:76879-7.http://dx.doi.org/10.1016/S0006-3495(99)154.
Andrey A Korotaevskiy, Leonid G Hanin, Mikhail A Khanin. Non-linear dynamics of thecomplement system activation. // Math Biosci. 2009. Dec. Vol. 222, no. 2. P. 127143. URL:http://dx.doi.org/10.1016/j.mbs.2009.10.003.155. IsaevaO.G.,OsipovV.A.Modelingofinterleukin-2mediatedanti-tumorimmuneresponse immunocorrective effect of centimeter electromagnetic waves // Computational andMathematical Methods in Medicine.
2009. Ò. 10, 3. Ñ. 185201.156. Êîëåñèí È.Ä.,Æèòêîâà Å.Ì. Ìàòåìàòè÷åñêèå ìîäåëè ñåçîííûõ ïîäúåìîâ îñòðûõðåñïèðàòîðíî-âèðóñíûõ èíôåêöèé: ïðèåìû ìîäåëèðîâàíèÿ è îïòèìèçàöèÿ ïðîôèëàêòèêè. Ó÷åáíîå ïîñîáèå. ¾Ñîëî¿, 2011. Ñ. 58.157. Øàâëþãèí Å.À., Õàíèí Ì.À. Ìàòåìàòè÷åñêàÿ ìîäåëü àêòèâàöèè ñèñòåìû êîìïëåìåíòàïðè ó÷àñòèè êîíòàêòíîé ñèñòåìû ñâåðòûâàíèÿ êðîâè // Ôóíäàìåíòàëüíûå èññëåäîâàíèÿ.2012.
1. Ñ. 172178.158. Ïåñêîâ Ê.Â. Ìàòåìàòè÷åñêîå ìîäåëèðîâàíèå ïðè ðàçðàáîòêå ëåêàðñòâ // Âåñòíèê Ðîñçäðàâíàäçîðà. 2013. 1. Ñ. 5760.159. Mathematical model of the Tat-Rev regulation of HIV-1 replication in an activated cell predictsthe existence of oscillatory dynamics in the synthesis of viral components. / Vitaly A Likhoshvai, Tamara M Khlebodarova, Sergei I Bazhan et al.
// BMC Genomics. 2014. Vol. 15 Suppl12. P. S1. URL:http://dx.doi.org/10.1186/1471-2164-15-S12-S1.160. Ãàéíîâà È.À. Ìàòåìàòè÷åñêàÿ èììóíîëîãèÿ: çàäà÷è è ìåòîäû // Òåçèñû äîêëàäîâ Ìåæäóíàðîäíîãî íàó÷íîãî ñåìèíàðà ïî îáðàòíûì è íåêîððåêòíî ïîñòàâëåííûì çàäà÷àì.Ìîñêâà, 1921 íîÿáðÿ 2015 ã. Ìîñêâà: ÐÓÄÍ, 2015.161. A review of imaging techniques for systems biology. / A. R. Kherlopian, T. Song, Q. Duanet al. // BMC Syst Biol. 2008. Vol. 2. P. 74.
URL:1752-0509-2-74.http://dx.doi.org/10.1186/162. Boustany N. N., Boppart S. A., Backman V. Microscopic imaging and spectroscopy withscattered light. // Annu Rev Biomed Eng. 2010. Aug. Vol. 12. P. 285314. URL://dx.doi.org/10.1146/annurev-bioeng-061008-124811.95http:163. Yates A. Visualizing recall immune responses with multi-photon microscopy. // Immunology.2009.
Dec.Vol. 128, no. 4.P. 461462. URL:1365-2567.2009.03195.x.http://dx.doi.org/10.1111/j.164. Two-photon excitation fluorescence microscopy. / P. T. So, C. Y. Dong, B. R. Masters et al. //Annu Rev Biomed Eng.2000.Vol. 2.P. 399429. URL:1146/annurev.bioeng.2.1.399.http://dx.doi.org/10.165.