Macromolecular Crystallographic Computing

Macromolecular Crystallographic Computing

Kostas Bethanis, Petros Giastas, Trias Thireou, Vassilis Atlamazoglou
ISBN13: 9781605667683|ISBN10: 1605667684|ISBN13 Softcover: 9781616924034|EISBN13: 9781605667690
DOI: 10.4018/978-1-60566-768-3.ch001
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MLA

Bethanis, Kostas, et al. "Macromolecular Crystallographic Computing." Biocomputation and Biomedical Informatics: Case Studies and Applications, edited by Athina A. Lazakidou, IGI Global, 2010, pp. 1-36. https://doi.org/10.4018/978-1-60566-768-3.ch001

APA

Bethanis, K., Giastas, P., Thireou, T., & Atlamazoglou, V. (2010). Macromolecular Crystallographic Computing. In A. Lazakidou (Ed.), Biocomputation and Biomedical Informatics: Case Studies and Applications (pp. 1-36). IGI Global. https://doi.org/10.4018/978-1-60566-768-3.ch001

Chicago

Bethanis, Kostas, et al. "Macromolecular Crystallographic Computing." In Biocomputation and Biomedical Informatics: Case Studies and Applications, edited by Athina A. Lazakidou, 1-36. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-768-3.ch001

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Abstract

Structural genomics or structural proteomics can be defined as the quest to obtain the three-dimensional structures of all proteins. Single-crystal X-ray crystallography provides the most direct, accurate and in most of the cases the only way of forming images of macromolecules. Using crystallography, threedimensional images have been made of thousands of macromolecules, especially proteins and nucleic acids. These give detailed information about their activity, their mechanism for recognizing and binding substrates and effectors, and the conformational changes which they may undergo. This chapter presents the basic crystallographic procedure steps and a thorough survey of the computational software used most frequently by protein X-ray crystallographers. The determination of the structure of 2[4Fe-4S] ferredoxin from Escherichia coli. is examined as a case study of implementation of these steps and programs. Finally, some of the perspectives of the field of computational X-ray crystallography are noted showing the future developments in the ceaseless evolution of new methods and proliferation of new programs.

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