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Phylogenetic aspects of the concept of intelligent life design

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a new treatment of molecular evolutionary model as a product of intelligent changes. The aim of this paper is to obtain a life design system, drawing on processes occurring in nature regardless of explanations of the origins of life. The idea of intelligent design and molecular relationship is considered as a basic concept of the intelligent life design system, using some analogies taken from molecular evolutionary models. Three steps of life design system are outlined; however, the main subject is an attempt to find certain similar effects of the design system processes and the processes simulated with basic evolutionary substitution models: Jukes-Cantor; Felsenstein; and Hasegawa, Kishino, and Yano (HKY). An idea of gene reduction has been applied, from more complex (taking into account information density) biological systems to less complex, specialised biological systems. Two steps have been taken into consideration: a test stage in the virtual world and an adaptation finishing process after running the systems in the real world. Two algorithms have been applied. The first one has applied similarity related to an accommodation process to required conditions in the virtual and the real world. The second algorithm has applied accommodation to required conditions separately (expressed as amino acid substitution) in the first step, using a convenient criterion, and further (similar to observable) accommodation in the real world. A phylogenetic tree, similar to a real one, has been calculated using the above method for mammals, for mtDNA, with the maximum likelihood method, and with the aid of PhyML for the HKY model. This paper is an introduction showing an aspect of the life design system, related to phylogenetic relationships.
Rocznik
Strony
145--162
Opis fizyczny
Bibliogr. 16 poz., rys., wykr.
Twórcy
autor
  • Faculty of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, Zabrze 41-800, Poland, Phone: +48 32 2777463
Bibliografia
  • 1. Polański A, Kimmel M. Bioinformatics. Berlin: Springer, 1998.
  • 2. Allman ES, Rhodes JA. Mathematical models in biology. An introduction. Cambridge, UK: Cambridge University Press, 2004.
  • 3. Hasegawa M, Kishino H, Yano T. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. J Mol Evol 1985;22:160–74.
  • 4. King AC, Billingham J, Otto SR. Differential equations. Linear, nonlinear, ordinary, partial. Cambridge, UK: Cambridge University Press, 2003.
  • 5. Mayer CD. Matrix analysis and applied linear algebra. Philadelphia: Society for Industrial and Applied Mathematics, 2000.
  • 6. Jeffrey A. Advanced engineering mathematics. University of Newcastle-upon-Tyne: Harcourt/Academic Press, 2002.
  • 7. Zwillinger D. Handbook of differential equations, 3rd ed. Orlando, FL: Academic Press, 1997.
  • 8. Cai Y, Zhou G, Chou K. Support vector machines for predicting membrane protein types by using functional domain composition. Biophys J 2003;84:3257–63.
  • 9. Chou K, Cai Y. Prediction of protease types in a hybridization space. Biochem Biophys Res Commun 2006;339:1015–20.
  • 10. Zhang G, Li H, Gao J, Fang B. Predicting lipase types by improved Chou’s pseudo-amino acid composition. Protein Pept Lett 2008;15:1132–7.
  • 11. Chou K, Cai Y. Predicting protein quaternary structure by pseudo amino acid composition. Proteins Struct Funct Genet 2003;53:282–9.
  • 12. Krajewski Z, Tkacz E. Feature selection of protein structural classification using SVM classifier. Biocybern Biomed Eng 2013;33:47–61.
  • 13. Krajewski Z, Tkacz E. Protein structural classification based on pseudo amino acid composition using SVM classifier. Biocybern Biomed Eng 2013;33:77–87.
  • 14. Chou K. Prediction of protein cellular attributes using pseudo-amino acid composition. Proteins Struct Funct Bioinform 2001;43:246–55.
  • 15. Chou K, Cai Y. Predicting subcellular localization of proteins by hybridizing functional domain composition and pseudo-amino acid composition. J Cell Biochem 2004;91:1197–1203.
  • 16. Hall BG. Phylogenetic trees made easy. University of Rochester, Emeritus and Bellingham Research Institute. Sunderland, MA: Sinauer Associates Inc., 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-20569a06-b124-4870-8cbe-609a62199fd2
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