Use of a novel Hill-climbing genetic algorithm in protein folding simulations

Author:

Cooper Lee R,Corne David W,Crabbe M.James C

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference6 articles.

1. Crabbe, M.J.C., Cooper, L.R., Corne, D.W., 2003. Use of essential and molecular dynamics to study γB-crystallin post-translational modifications. Comput. Biol. Chem., 509–512.

2. Potential of genetic algorithms in protein folding and protein engineering simulations;Dandekar;Protein Eng.,1992

3. Folding the main-chain of small proteins with the genetic algorithm;Dandekar;J. Mol. Biol.,1994

4. Identifying the tertiary fold of small proteins with different topologies from sequence and secondary structure using the genetic algorithm and extended criteria specific for strand regions;Dandekar;J. Mol. Biol.,1996

5. Goldberg, D.E., 1989. Genetic Algorithm in Search, Optimization, and Machine Learning. Addison-Wesley, New York.

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