Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model.
نویسنده
چکیده
We present a space annealing version for a contour Monte Carlo algorithm and show that it can be applied successfully to finding the ground states for an off-lattice protein model. The comparison shows that the algorithm has made a significant improvement over the pruned-enriched-Rosenbluth method and the Metropolis Monte Carlo method in finding the ground states for AB models. For all sequences, the algorithm has renewed the putative ground energy values in the two-dimensional AB model and set the putative ground energy values in the three-dimensional AB model.
منابع مشابه
A Hybrid Monte Carlo Ant Colony Optimization Approach for Protein Structure Prediction in the HP Model
The hydrophobic-polar model has been widely studied in the field of protein structure prediction both for theoretical purposes and as a benchmark for new optimization strategies. In this work we introduce a new heuristics based on Ant Colony Optimization and Markov Chain Monte Carlo that we called Hybrid Monte Carlo Ant Colony Optimization. We describe this method and compare results obtained o...
متن کاملLattice models of peptide aggregation: Evaluation of conformational search algorithms
We present a series of conformational search calculations on the aggregation of short peptide fragments that form fibrils similar to those seen in many protein mis-folding diseases. The proteins were represented by a face-centered cubic lattice model with the conformational energies calculated using the Miyazawa-Jernigan potential. The searches were performed using algorithms based on the Metro...
متن کاملLocalMove: computing on-lattice fits for biopolymers
Given an input Protein Data Bank file (PDB) for a protein or RNA molecule, LocalMove is a web server that determines an on-lattice representation for the input biomolecule. The web server implements a Markov Chain Monte-Carlo algorithm with simulated annealing to compute an approximate fit for either the coarse-grain model or backbone model on either the cubic or face-centered cubic lattice. Lo...
متن کاملApproximating Off-Lattice Kinetic Monte Carlo
We present an approximate off-lattice kinetic Monte Carlo (KMC) method for simulating heteroepitaxial growth. The model aims to retain the speed and simplicity of lattice based KMC methods while capturing essential features that can arise in an off-lattice setting. Interactions between atoms are defined by an interatomic potential which determines the arrangement of the atoms. In this formulati...
متن کاملA Minimal Off-Lattice Model for Alpha-helical Proteins
A minimal off-lattice model for α-helical proteins is presented. It is based on hydrophobicity forces and sequence independent local interactions. The latter are chosen so as to favor the formation of α-helical structure. They model chirality and α-helical hydrogen bonding. The global structures resulting from the competition between these forces are studied by means of an efficient Monte Carlo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- The Journal of chemical physics
دوره 120 14 شماره
صفحات -
تاریخ انتشار 2004