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2013 | 60 | 2 |

Tytuł artykułu

A toy model of prebiotic peptide evolution: the possible role of relative amino acid abundances

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
 This paper presents a mathematical-computational toy model based on the assumed dynamic principles of prebiotic peptide evolution. Starting from a pool of amino acid monomers, the model describes in a generalized manner the generation of peptides and their sequential information. The model integrates the intrinsic and dynamic key elements of the initiation of biopolymerization, such as the relative amino acid abundances and polarities, as well as the oligomer reversibility, i.e. fragmentation and recombination, and peptide self-replication. Our modeling results suggest that the relative amino acid abundances, as indicated by Miller-Urey type electric discharge experiments, played a principal role in the early sequential information of peptide profiles. Moreover, the computed profiles display an astonishing similarity to peptide profiles observed in so-called biological common ancestors found in the following three microorganisms; E. coli, M. jannaschii, and S. cereviasiae. The prebiotic peptide fingerprint was obtained by the so-called polarity index method that was earlier reported as a tool for the identification of cationic amphipathic antibacterial short peptides.

Wydawca

-

Rocznik

Tom

60

Numer

2

Opis fizyczny

p.175-182,fig.,ref.

Twórcy

autor
  • Facultad de Ciencias de la Salud, Universidad Anahuac, Huixquilucan Estado de Mexico, Mexico
  • Centro de Investigaciones Quimicas Universidad Autonoma del Estado de Morelos, Cuernavaca, Morelos, Mexico
autor
  • Centro de Investigaciones Quimicas Universidad Autonoma del Estado de Morelos, Cuernavaca, Morelos, Mexico
  • Facultad de Ciencias de la Salud, Universidad Anahuac, Huixquilucan Estado de Mexico, Mexico
  • Facultad de Ciencias de la Salud, Universidad Anahuac, Huixquilucan Estado de Mexico, Mexico

Bibliografia

  • Arnold VI (1974) Critical point of smooth functions. Vancouver Intern Congr of Math 1: 19-39.
  • Australian Naturophathic Network ( http://www.ann.com.au/medsci/amino.htm) accesed in December, 2012.
  • Cousins GR, Poulsen SA, Sanders JK (2000) Molecular evolution: dynamic combinatorial libraries, autocatalytic networks and the quest for molecular function. Curr Opin Chem Biol 4: 270-279. 
  • Dadon Z, Wagner N, Ashkenasy G (2008) The road to non-enzymatic molecular networks. Angew Chem Int Ed Engl 47: 6128-6136. 
  • Delaye L, Becerra A, Lazcano A. (2005) The last common ancestor: what's in a name? Orig Life Evol Biosph 35: 537-554. 
  • Fox SW, Harada K, Krampitz G, Mueller G (1970) Chemical Origins of Cells, pp 80-94. Chemical and Engineering News, USA.
  • Herrera E (1993) Elementos de Bioquímica, pp 34-41. Interamericana, McGraw-Hill, DF, México.
  • Hopfield JJ (1974) Kinetic proofreading: a new mechanism for reducing errors in biosynthetic processes requiring high specificity. Proc Natl Acad Sci USA 71: 4135-4139. 
  • Issac R, Ham YW, Chmielewski J (2001) The design of self-replicating helical peptides. Curr Opin Struct Biol 11: 458-463. 
  • Kanehisa M, Goto S (2000) KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res 28: 27-30. 
  • Lahav N, White DH (1980) A possible role of fluctuating clay-water systems in the production of ordered prebiotic oligomers. J Mol Evol 16: 11-21. 
  • Lambert JF (2008) Adsorption and polymerization of amino acids on mineral surfaces: a review. Orig Life Evol Biosph 38: 211-242. 
  • Miller SL (1953) A Production of amino acids under possible primitive earth conditions. Science 117: 528-529. 
  • Mosqueira FG, Negron A, Ramos S, Polanco C (2012) Biased versus unbiased randomness in homo-polymers and copolymers of amino acids in the prebiotic world. Acta Biochim Pol 59: 543-547. 
  • Oprea TI, Tropsha A, Faulon JL, Rintoul MD (2007) Systems Chemical Biology. Nat Chem Biol 3: 447-450. 
  • Paul N, Joyce GF (2004) Minimal self-replicating systems. Curr Opin Chem Biol 8: 634-639. 
  • Polanco C, Samaniego JL (2009) Detection of selective cationic amphipatic antibacterial peptides by Hidden Markov models. Acta Biochim Pol 56: 167-76. 
  • Polanco C, Samaniego JL, Buhse T, Mosqueira FG, Negron-Mendoza A, Ramos-Bernal S, Castañón-González JA (2012) Characterization of selective antibacterial peptides by polarity index. Int J Pept 585027. doi: 10.1155/2012/585027. 
  • Thom R (1975) Stabilité structurelle et morphogénèse: essai d'une théorie générale des modèles, pp 348-362. Addison-Wesley, Inc, USA.
  • Wang G, Li X, Wang Z (2009) APD2: the updated antimicrobial peptide database and its application in peptide design. Nucleic Acids Res 37: D933-D937 

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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