Name
Abstract | ||
|---|---|---|
Proteins perform many biological functions in the human body. The structure of the protein determines its function. In order to predict the protein structure computationally, protein must be represented in a proper representation. To this end, an energy function is used to calculate its energy and a conformational search algorithm is used to search the conformational search space to find the lowest free energy conformation. In this paper, the Bees Algorithm, i.e. a Swarm Intelligence based algorithm inspired by the foraging behaviour of honey bees colony, is adapted to search the protein conformational search space. The algorithm was able to find the lowest free energy conformation of Met enkephaline using ECEPP/2 force fields. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/AMS.2008.65 | Asia International Conference on Modelling and Simulation |
Keywords | Field | DocType |
protein structure computationally,protein conformational search,foraging behaviour,biological function,energy function,lowest free energy conformation,conformational search algorithm,conformational search space,bees algorithm,met enkephaline,protein conformational search space,neural networks,proteins,testing,force field,free energy,particle swarm optimization,nuclear magnetic resonance,human body,control charts,swarm intelligence,search algorithm,protein sequence,search space,amino acids,protein structure,computer science,protein conformation,protein structure prediction | Protein structure prediction,Search algorithm,Honey Bees,Computer science,Swarm intelligence,Algorithm,Artificial intelligence,Bees algorithm,Foraging,Protein structure | Conference |
Citations | PageRank | References |
15 | 1.09 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hesham Awadh Abdallah Bahamish | 1 | 15 | 1.09 |
| Rosni Abdullah | 2 | 156 | 24.82 |
| Rosalina Abdul Salam | 3 | 70 | 10.83 |