Vaccine protocols optimization: In silico experiences

Biotechnology Advances

Volumn 28, Issue 1, 2010, Pages 82-93

  Pappalardo, Francesco ^a,b   Pennisi, Marzio ^b   Castiglione, Filippo ^a   Motta, Santo ^b  

^a CNR   (Italy)

^b UNIVERSITY OF CATANIA   (Italy)

Author keywords

Computational models; Dosage optimization; Drug discovery; Immunology; Personalized medicine; Vaccines

Indexed keywords

COMPUTATIONAL MODEL; COMPUTATIONAL MODELS; DRUG DISCOVERY; PERSONALIZED MEDICINE; PERSONALIZED MEDICINES;

DRUG INTERACTIONS; FLUORINE CONTAINING POLYMERS; IMMUNOLOGY; OPTIMIZATION; TUMORS; VACCINES;

DRUG DOSAGE;

VACCINE;

DRUG DEVELOPMENT; IMMUNE SYSTEM; LABORATORY METHOD; MEDICINE; OPTIMIZATION; PATHOTYPE; QUANTITATIVE ANALYSIS; TOXICITY TEST; TUMOR; VACCINE;

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; DRUG DEVELOPMENT; HUMAN; REVIEW;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; DRUG DISCOVERY; HUMANS; MODELS, GENETIC; MODELS, IMMUNOLOGICAL; VACCINES;

EID: 71249110111     PISSN: 07349750     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biotechadv.2009.10.001     Document Type: Review

References (39)

1. Acharya R., and Sundareshan M. Development of optimal drug administration strategies for cancer-chemotherapy in the framework of systems theory. Int J Biomed Comput 15 2 (1984) 139-150
2. Agur Z. Biomathematics in the development of personalized medicine in oncology. Future Oncol 2 1 (2006) 39-42
3. Begley J., and Ribas A. Targeted therapies to improve tumor immunotherapy. Clin Cancer Res 14 14 (2008) 4385-4391
4. Bhattacharya-Chatterjee M., Chatterjee S.K., and Foon K.A. Anti-idiotype antibody vaccine therapy for cancer. Expert Opin Biol Ther 2 (2002) 869-881
5. Burden T., Ernstberger J., and Fister K.R. Optimal control applied to immunotherapy. Disc Cont Dyn Sys B 4 1 (2004) 135-146
6. Castiglione F., Pappalardo F., Bernaschi M., and Motta S. Optimization of HAART by means of genetic algorithms and agent based models of HIV infection. Bioinformatics 23 24 (2007) 3350-3355
7. Castiglione F., and Piccoli B. Optimal control in a model of dendritic cell transfection cancer immunotherapy. Bull Math Biol 68 (2006) 255-274
8. Castiglione F., and Piccoli B. Cancer immunotherapy, mathematical modeling and optimal control. J Theor Biol 247 4 (2007) 723-732
9. Celada F., and Seiden P. A model of simulating cognate recognition and response in immune system. J Theor Bio 158 (1992) 329-357
10. Cohen I.R. Modeling immune behaviour for experimentalists. Immunol Rev 216 (2007) 232-236
11. Corne D., Dorigo M., and Glove F. New Ideas in Optimization. Advanced Topics in Computer Science (1999), McGraw-Hill
12. de Pillis L., and Radumskaya A. A mathematical tumor model with immune resistance and drug therapy: an optimal control approach. J Theor Med 3 (2001) 79-100
13. Farmer J.D., Packard N.H., and Perelson A.S. The immune system, adaption and machine learning. Phisica D 22 (1986) 187-204
14. Fister K.R., and Donnelly J.H. Immunotherapy: an optimal control theory approach. Math Biosci Eng 2 3 (2005) 499-510
15. Guinn B.A., Kasahara N., Farzaneh F., Habib N.A., Norris J.S., and Deisseroth A.B. Recent advances and current challenges in tumor immunology and immunotherapy. Mol Ther 15 6 (2007) 1065-1071
16. Kaufman M., Urbain J., and Thomas R. Towards a logical analysis of the immune response. J Theor Biol 114 4 (1985) 527-561
17. Kirkpatrik S., Gelatt C.D., and Vacchi M.P. Optimization by simulated annealing. Science 220 4598 (1983) 671-680
18. Kirschner D., and Panetta J.C. Modeling immunotherapy of tumor-immune interaction. J Math Biol 37 (1998) 235-252
19. Kumar N., Hendriks B.S., Janes K.A., de Graaf D., and Lauffenburger D.A. Applying computational modeling to drug discovery and development. Drug Discov Today 11 17/18 (2006) 806-811
20. Lollini P.-L., Cavallo F., Nanni P., and Forni G. Vaccines for tumour prevention. Nat Rev Cancer 6 3 (2006) 204-216
21. Lollini P.-L., Motta S., and Pappalardo F. Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator. BMC Bioinformatics 7 352 (2006) 10.1186/1471-2105-7-352
22. Louzon Y. The evolution of mathematical immunology. Immunol Rev 216 (2007) 9-20
23. Manneville P., Boccara N., and Vichniac G.Y. Cellular automata and modeling of complex physical systems. r bidaux Edition. Springer Verlag Series in Physics Vol. 46 (1989), Springer Verlag
24. Martin R.B. Optimal control drug scheduling of cancer chemotherapy. Automatica 28 (1992) 1113-1123
25. Metropolis N., Rosenbluth A.W., Rosenbluth M.N., and Teller A.H. Equation of state calculations by fast computing machines. J Chem Phys 21 (1953) 1087-1092
26. Motta S., Castiglione F., Lollini P.-L., and Pappalardo F. Modelling vaccination schedules for a cancer immunoprevention vaccine. Immunome Res 1 5 (2005) 10.1186/1745-7580-1-5
27. Nanni P., Nicoletti G., Giovanni C.D., Landuzzi L., Carlo E.D., Cavallo F., et al. Combined allogeneic tumor cell vaccination and systemic interleukin 12 prevents mammary carcinogenesis in her-2/neu transgenic mice. J Exp Med 194 9 (2001) 1195-1205
28. Nestle F.O., Farkas A., and Conrad C. Dendritic-cell-based therapeutic vaccination against cancer. Curr Opin Immunol 17 (2005) 163-169
29. Pappalardo F., Castiglione F., Lollini P.-L., and Motta S. Modelling and simulation of cancer immunoprevention vaccine. Bioinformatics 21 12 (2005) 2891-2897
30. Pappalardo F., Mastriani E., Lollini P.-L., and Motta S. Genetic algorithm against cancer. Lect Notes Comput Sci 3849 (2006) 223-228
31. Pappalardo F., Motta S., Lollini P., and Mastriani E. Analysis of vaccine's schedules using models. Cell Immunol 244 (2006) 137-140
32. Pappalardo F., Musumeci S., and Motta S. Modeling immune system control of atherogenesis. Bioinformatics 24 15 (2008) 1715-1721
33. Pappalardo F., Zhang P., Halling-Brown M., Basford K., Scalia A., Shepherd A., et al. Computational simulations of the immune system for personalized medicine: state of the art and challenges. Curr Pharmacogenomics Pers Med 6 4 (2008) 260-271
34. Pennisi M., Catanuto R., Pappalardo F., and Motta S. Optimal vaccination schedules using simulated annealing. Bioinformatics 24 15 (2008) 1740-1742
35. Perelson A.S., and Weisbuch G. Immunology for physicists. Rev Mod Phys 69 (1997) 1219-1267
36. Preziosi, L. (Ed.), June 2003. Cancer Modeling and Simulation. Chapman & Hall/CRC Press, London.
37. Stauffer D., and Pandey R. Immunologically motivated simulations of cellular automata. Comput Phys 6 4 (1992) 404
38. Swan G. Role of optimal control theory in cancer chemotherapy. Math Biosci 101 2 (1990) 237-284
39. Swierniak A., Ledzewicz U., and Schattler H. Optimal control for a class of compartmental models in cancer chemotherapy. Int J Appl Math Comp Sci 13 3 (2003) 357-368