HEURISTIC REFINEMENT METHOD FOR THE DERIVATION OF PROTEIN SOLUTION STRUCTURES - VALIDATION ON CYTOCHROME B-562

被引:16
作者
BRINKLEY, JF
ALTMAN, RB
DUNCAN, BS
BUCHANAN, BG
JARDETZKY, O
机构
[1] STANFORD UNIV, STANFORD MAGNET RESONANCE LAB, STANFORD, CA 94305 USA
[2] STANFORD UNIV, KNOWLEDGE SYST LAB, STANFORD, CA 94305 USA
来源
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 1988年 / 28卷 / 04期
关键词
D O I
10.1021/ci00060a005
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A method is described for determining the family of protein structures compatible with solution data obtained primarily from nuclear magnetic resonance (NMR) spectroscopy. Starting with all possible conformations, the method systematically excludes conformations until the remaining structures are only those compatible with the data. The apparent computational intractability of this approach is reduced by assembling the protein in pieces, by considering the protein at several levels of abstraction, by utilizing constraint satisfaction methods to consider only a few atoms at a time, and by utilizing artificial intelligence methods of heuristic control to decide which actions will exclude the most conformation. Example results are presented for simulated NMR data from the known crystal structure of cytochrome b562 (103 residues). For 10 sample backbones an average root-mean-square deviation from the crystal of 4.1 .ANG. was found for all .alpha.-carbon atoms and 2.8 .ANG. for helix .alpha.-carbons alone. The 10 backbones define the family of all structures compatible with the data and provide nearly correct starting structures for adjustment by any of the current structure determination methods.
引用
收藏
页码:194 / 210
页数:17
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