Asymptotic hitting time for a simple evolutionary model of protein folding
Autor: | Véronique Ladret |
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Přispěvatelé: | Institut de Mathématiques et de Modélisation de Montpellier (I3M), Centre National de la Recherche Scientifique (CNRS)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM) |
Jazyk: | angličtina |
Rok vydání: | 2005 |
Předmět: |
Statistics and Probability
MSC : 60J10 60F05 92C40 92D20 General Mathematics Markov chain Evolutionary algorithm 01 natural sciences Combinatorics 010104 statistics & probability 60J10 60F05 92D20 92C05 Probability theory Simple (abstract algebra) Law of large numbers protein folding FOS: Mathematics 0101 mathematics Central limit theorem Mathematics evolutionary algorithm Probability (math.PR) 010102 general mathematics Hitting time Biomolecules (q-bio.BM) [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] Quantitative Biology - Biomolecules FOS: Biological sciences Probability distribution Statistics Probability and Uncertainty Mathematics - Probability |
Zdroj: | Journal of Applied Probability Journal of Applied Probability, Cambridge University press, 2005, 42 (1), pp.39-51. ⟨10.1239/jap/1110381369⟩ |
ISSN: | 0021-9002 1475-6072 |
DOI: | 10.1239/jap/1110381369⟩ |
Popis: | We consider two versions of a simple evolutionary algorithm (EA) model for protein folding at zero temperature, namely the (1 + 1)-EA on the LeadingOnes problem. In this schematic model, the structure of the protein, which is encoded as a bit-string of length n, is evolved to its native conformation through a stochastic pathway of sequential contact bindings. We study the asymptotic behavior of the hitting time, in the mean case scenario, under two different mutations: the one-flip, which flips a unique bit chosen uniformly at random in the bit-string, and the Bernoulli-flip, which flips each bit in the bit-string independently with probability c/n, for some c ∈ ℝ+ (0 ≤ c ≤ n). For each algorithm, we prove a law of large numbers, a central limit theorem, and compare the performance of the two models. |
Databáze: | OpenAIRE |
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