Detalle de: Exactness of the annealed and the replica symmetric approximations for random heteropolymers
| Title | Exactness of the annealed and the replica symmetric approximations for random heteropolymers |
| Abstract |
We study a heteropolymer model with random contact interactions introduced some time ago as a simplified model for proteins. The model consists of self-avoiding walks on the simple cubic lattice, with contact interactions between nearest-neighbor pairs. For each pair, the interaction energy is an independent Gaussian variable with mean value B and variance Delta(2). For this model the annealed approximation is expected to become exact for low disorder, at sufficiently high dimension and in the thermodynamic limit. We show that corrections to the annealed approximation in the three-dimensional high-temperature phase are small, but do not vanish in the thermodynamic limit, and are in good agreement with our replica symmetric calculations. Such corrections derive from the fact that the overlap between two typical chains is nonzero. We explain why previous authors had come to the opposite conclusion, and discuss consequences for the thermodynamics of the model. Numerical results were obtained by simulating chains of length N |
| Apa Reference | Bastolla, U., & Grassberger, P. (2001). Exactness of the annealed and the replica symmetric approximations for random heteropolymers. Physical Review E, 63(3). 10.1103/physreve.63.031901 |
| Doi | 10.1103/physreve.63.031901 |
| Publication Date | 14 Feb 2001 |
| Publication Type | Article |
| Researcher | Ugo Bastolla |
| Ontology | Functional annotation, Function prediction, Structural bioinformatics, Molecular flexibility, Molecular evolution, Conservation Analysis, Evolutionary modelling, Ecological modelling, Sequence Alignment, Phylogenetic Analysis, Mutation Analysis and design, Network Biology, Structure-function relationship, Evolutionary rates, Microbial communities, Population dynamics |
| Research Groups | Computational biology and Bioinformatics (CBM): from Proteins to Ecosystems |
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