Optimization of the UNRES Force Field by Hierarchical Design of the Potential-Energy Landscape. 3. Use of Many Proteins in Optimization
Optimization of the UNRES Force Field by Hierarchical Design of the Potential-Energy Landscape. 3. Use of Many Proteins in Optimization
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DOI:
10.1021/jp040329x
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发表时间:
2004-10
影响因子:
3.3
通讯作者:
S. Ołdziej;Justyna Ła̧giewka;A. Liwo;C. Czaplewski;M. Chinchio;M. Nanias;H. Scheraga
中科院分区:
文献类型:
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作者:
S. Ołdziej;Justyna Ła̧giewka;A. Liwo;C. Czaplewski;M. Chinchio;M. Nanias;H. Scheraga
We report the application of the hierarchical optimization method of protein potential-energy landscapes described in the accompanying papers (Liwo, A.; Arlukowicz, P.; Oldziej, S.; Czaplewski, C.; Makowski, M.; Scheraga, H. A. J. Phys. Chem. B 2004, 108, 16918; Oldziej, S.; Liwo, A.; Czaplewski, C.; Pillardy, J.; Scheraga, H. A. J. Phys. Chem. B 2004, 108, 16934) to optimize the UNRES potential energy function using two [1E0G (α + β) and 1E0L (β)], three [1E0G, 1E0L, and 1GAB (α)], and, finally, four training proteins [1E0G, 1E0L, 1GAB, and 1IGD (α + β)] simultaneously; these training sets and the resulting force fields are referred to as 2P, 3P, and 4P, respectively. The hierarchies of 1E0L and 1GAB were determined following the procedure applied to 1E0G described in an accompanying paper,2 the hierarchies of 1IGD and 1E0G being taken from experiment and from the accompanying paper,2 respectively. For all training sets, optimization was successful; in other words, (i) the target function composed of con...