Conformational attractors on the Ramachandran map

被引:26
作者
Walther, D [1 ]
Cohen, FE
机构
[1] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Mol & Cellular Pharmacol, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Biochem & Biophys, San Francisco, CA 94143 USA
来源
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY | 1999年 / 55卷
关键词
D O I
10.1107/S0907444998013353
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Frequency distributions of protein backbone dihedral angles cp and psi have been analyzed systematically for their apparent correlation with various crystallographic parameters, including the resolution at which the protein structures had been determined, the R factor and the free R factor? and the results have been displayed in novel differential Ramachandran maps. With improved sensitivity compared with conventionally derived heuristic Ramachandran maps, such differential maps automatically reveal conformational 'attractors' to which phi/psi distributions converge as the crystallographic resolution improves, as well as conformations tied specifically to low-resolution structures. In particular, backbone angular combinations associated with residues in alpha-helical conformation show a pronounced consolidation with substantially narrowed phi/psi distributions at higher (better) resolution. Convergence to distinct conformational attractors was also observed for all other secondary-structural types and random-coil conformations. Similar resolution-dependent phi/psi evolutions were obtained for different crystallographic refinement packages, documenting the absence of any significant artificial biases in the refinement programs investigated here. A comparison of differential Ramachandran maps derived for the R factor and the free R factor as independent parameters proved the better suitability of the free R factor for structure-quality assessment. The resolution-based differential Ramachandran map is available as a reference for comparison with actual protein structural data under WebMol. a Java-based structure viewing and analysis program (http://www.cmpharm.ucsf.edu/cgi-bin/webmol.pl).
引用
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页码:506 / 517
页数:12
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