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231223s2011 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.21716
|2 doi
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|a pubmed24n0684.xml
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|a eng
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|a Sakae, Yoshitake
|e verfasserin
|4 aut
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|a Protein structure predictions by parallel simulated annealing molecular dynamics using genetic crossover
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|c 2011
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 05.07.2011
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|a Date Revised 22.03.2011
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2011 Wiley Periodicals, Inc.
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|a 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
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Proteins
|2 NLM
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| 700 |
1 |
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|a Hiroyasu, Tomoyuki
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Miki, Mitsunori
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Okamoto, Yuko
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 32(2011), 7 vom: 01. Mai, Seite 1353-60
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
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|g volume:32
|g year:2011
|g number:7
|g day:01
|g month:05
|g pages:1353-60
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|u http://dx.doi.org/10.1002/jcc.21716
|3 Volltext
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