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231223s2004 xx ||||| 00| ||eng c |
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|a (NLM)15378533
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Martineau, Eric
|e verfasserin
|4 aut
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| 245 |
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|a Biased fragment distribution in MC simulation of protein folding
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| 264 |
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|c 2004
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 22.11.2004
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|a Date Revised 15.11.2006
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a Copyright 2004 Wiley Periodicals, Inc.
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|a Monte Carlo (MC) methods play an important role in simulations of protein folding. These methods rely on a random sampling of moves on a potential energy surface. To improve the efficiency of the sampling, we propose a new selection of trial moves based on an empirical distribution of three-residue (triplet) conformations. This selection is compared to random combinations of the preferred conformations of the three amino acids, and it is shown that the new trial moves lead to finding structures closer to the native conformation
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 650 |
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|a Amino Acids
|2 NLM
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| 650 |
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|a Myoglobin
|2 NLM
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| 700 |
1 |
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|a L'Heureux, Pierre-Jean
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Gunn, John R
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 25(2004), 15 vom: 30. Nov., Seite 1895-903
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
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|g volume:25
|g year:2004
|g number:15
|g day:30
|g month:11
|g pages:1895-903
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|a AR
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|d 25
|j 2004
|e 15
|b 30
|c 11
|h 1895-903
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