Protein structure predictions by parallel simulated annealing molecular dynamics using genetic crossover.
We propose a conformational search method to find a global minimum energy structure for protein systems. The simulated annealing is a powerful method for local conformational search. On the other hand, the genetic crossover can search the global conformational space. Our method incorporates these attractive features of the simulated annealing and genetic crossover. In the previous works, we have been using the Monte Carlo algorithm for simulated annealing. In the present work, we use the molecular dynamics algorithm instead. To examine the effectiveness of our method, we compared our results with those of the normal simulated annealing molecular dynamics simulations by using an α-helical miniprotein. We used genetic two-point crossover here. The conformations, which have lower energy than those obtained from the conventional simulated annealing, were obtained.
Department of Physics, Nagoya University, Nagoya Aichi, Japan.
Yoshitake
Y
Sakae
Tomoyuki
T
Hiroyasu
Mitsunori
M
Miki
Yuko
Y
Okamoto
D003434:Crossing Over, Genetic; D056004:Molecular Dynamics Simulation; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000235:genetics
D011506:Proteins