Electron-density map interpretation.

Publisher Summary Any errors that occur in a crystallographic project usually will be found before publication. Often, if an error has been made, the project will stall and there will be no publication. Introducing a serious error in a model can be different. This chapter discusses the kinds of error that might be made and why these errors are made. It discusses some of the features of the crystallographic model-building program O. Real errors in models occur with frequencies that are, fortunately, inversely proportional to the seriousness of the error. Building a molecular model from electron density is a complicated process. During the interpretation of an electron-density map, the basic function of the molecular graphics program is to assist the scientist in imagining, and then remembering, the three-dimensional folding and features of the structure. Thus, it is important to be able to change the model quickly and not to be interrupted by the details of operating a computer program. To facilitate the rapid building and rebuilding of molecular models, O incorporates autobuild options, allowing the user to create a molecular structure quickly from a rough three-dimensional sketch. This has the drawback of possibly making it even easier to build a wrong structure.

[1]  G J Kleywegt,et al.  Phi/psi-chology: Ramachandran revisited. , 1996, Structure.

[2]  Samuel E. Lux,et al.  Analysis of cDNA for human erythrocyte ankyrin indicates a repeated structure with homology to tissue-differentiation and cell-cycle control proteins , 1990, Nature.

[3]  J. Zou,et al.  Improved methods for building protein models in electron density maps and the location of errors in these models. , 1991, Acta crystallographica. Section A, Foundations of crystallography.

[4]  Lars Liljas,et al.  The three-dimensional structure of the bacterial virus MS2 , 1990, Nature.

[5]  T A Jones,et al.  Structure of satellite tobacco necrosis virus after crystallographic refinement at 2.5 A resolution. , 1984, Journal of molecular biology.

[6]  T. A. Jones,et al.  A graphics model building and refinement system for macromolecules , 1978 .

[7]  J L Sussman,et al.  A 3D building blocks approach to analyzing and predicting structure of proteins , 1989, Proteins.

[8]  T. A. Jones,et al.  Structure of satellite tobacco necrosis virus at 3.0 A resolution. , 1982, Journal of molecular biology.

[9]  J. Knowles,et al.  Three-dimensional structure of cellobiohydrolase II from Trichoderma reesei. , 1990, Science.

[10]  T. Jones,et al.  Between objectivity and subjectivity , 1990, Nature.

[11]  M. A. Saper,et al.  Structure of the human class I histocompatibility antigen, HLA-A2 , 1987, Nature.

[12]  T A Jones,et al.  The three‐dimensional structure of P2 myelin protein. , 1988, The EMBO journal.

[13]  G J Kleywegt,et al.  Structure determination and refinement of human alpha class glutathione transferase A1-1, and a comparison with the Mu and Pi class enzymes. , 1993, Journal of molecular biology.

[14]  J Greer Three-dimensional pattern recognition: an approach to automated interpretation of electron density maps of proteins. , 1974, Journal of molecular biology.

[15]  G. Borgstahl,et al.  1.4 A structure of photoactive yellow protein, a cytosolic photoreceptor: unusual fold, active site, and chromophore. , 1995, Biochemistry.

[16]  G J Kleywegt,et al.  Where freedom is given, liberties are taken. , 1995, Structure.

[17]  A. Brunger Free R value: a novel statistical quantity for assessing the accuracy of crystal structures. , 1992 .

[18]  T. A. Jones,et al.  Using known substructures in protein model building and crystallography. , 1986, The EMBO journal.

[19]  T. Reinikainen,et al.  The three-dimensional crystal structure of the catalytic core of cellobiohydrolase I from Trichoderma reesei. , 1994, Science.