Title :
Incremental prediction of the side-chain conformation of proteins by a genetic algorithm
Author :
Iijima, Hiroshi ; Naito, Yusuke
Author_Institution :
Central Labs. for Key Technol., Kirin Brewery Co. Ltd., Kanagawa, Japan
Abstract :
The paper reports an approach for predicting the side-chain conformation of a protein using a genetic algorithm: an incremental GA. In the GA, the chromosome consists of an array of side-chain torsion angles(χ), and the fitness is only calculated from overlap among each atom´s van der Waals radius under the assumption of fixed main-chain atoms. The GA was incrementally used in the simulation. No van der Waals contact was observed in the predicted structures. This process automatically conforms most of the large side-chains in the hydrophobic core exactly the same in comparison with physical methods such as X-ray crystallography. This approach shows other solutions than the native tertiary conformation in some small side-chain positions. The observed conformation shows that the incremental GA has abilities in predicting side-chain conformation
Keywords :
cellular biophysics; chemistry; chemistry computing; digital simulation; genetic algorithms; macromolecular configurations; proteins; search problems; X-ray crystallography; chromosome; fixed main-chain atoms; genetic algorithm; hydrophobic core; incremental GA; incremental prediction; predicted structures; proteins; side-chain conformation; side-chain torsion angles; simulation; van der Waals radius; Atomic measurements; Biological cells; DNA; Genetic algorithms; Libraries; Peptides; Predictive models; Proteins; Sequences; Thermodynamics;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349924