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Error Thresholds in Single-Peak Gaussian Distributed Fitness Landscapes 被引量:1
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作者 FENG Xiao-Li GU Jian-Zhong +1 位作者 LI Yu-Xiao ZHUO Yi-Zhong 《Communications in Theoretical Physics》 SCIE CAS CSCD 2007年第4X期763-768,共6页
Based on the Eigen and Crow-Kimura models with a single-peak fitness landscape, we propose the fitness values of all sequence types to be Gausslan distributed random variables to incorporate the effects of the fluctua... Based on the Eigen and Crow-Kimura models with a single-peak fitness landscape, we propose the fitness values of all sequence types to be Gausslan distributed random variables to incorporate the effects of the fluctuations of the fitness landscapes (noise of environments) and investigate the concentration distribution and error threshold of quasispecies by performing an ensemble average within this theoretical framework. We find that a small fluctuation of the fitness landscape causes only a slight change in the concentration distribution and error threshold, which implies that the error threshold is stable against small perturbations. However, for a sizable fluctuation, quite different from the previous deterministic models, our statistical results show that the transition from quasi-species to error catastrophe is not so sharp, indicating that the error threshold is located within a certain range and has a shift toward a larger value. Our results are qualitatively in agreement with the experimental data and provide a new implication for antiviral strategies. 展开更多
关键词 QUASI-SPECIES error threshold gaussian distributed fitness landscape
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