Name
Abstract | ||
|---|---|---|
In this paper, we present a new genetic algorithm for protein structure prediction problem using face-centred cubic lattice and hydrophobic-polar energy model. Our algorithm uses i) an exhaustive generation approach to diversify the search; ii) a novel hydrophobic core-directed macro move to intensify the search; and iii) a random-walk strategy to recover from stagnation. On a set of standard benchmark proteins, our algorithm significantly outperforms the state-of-the-art algorithms for the same models. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-35101-3_10 | Australasian Conference on Artificial Intelligence |
Keywords | Field | DocType |
random-walk strategy,novel hydrophobic,hydrophobic-polar energy model,protein structure prediction problem,macro move,exhaustive generation approach,face-centred cubic lattice,new genetic algorithm,state-of-the-art algorithm,standard benchmark protein | Protein structure prediction,Search algorithm,Lattice (order),Random walk,Computer science,Algorithm,Artificial intelligence,Local search (optimization),Macro,Genetic algorithm | Conference |
Citations | PageRank | References |
14 | 0.59 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahmood A. Rashid | 1 | 81 | 8.69 |
| Md. Tamjidul Hoque | 2 | 41 | 5.44 |
| M. A. Hakim Newton | 3 | 120 | 17.81 |
| Duc Nghia Pham | 4 | 280 | 17.38 |
| abdul sattar | 5 | 1389 | 185.70 |