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The Future of Crystallography in Drug Discovery

Overview
Specialties Chemistry
Pharmacology
Date 2013 Dec 31
PMID 24372145
Citations 23
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Abstract

Introduction: X-ray crystallography plays an important role in structure-based drug design (SBDD), and accurate analysis of crystal structures of target macromolecules and macromolecule-ligand complexes is critical at all stages. However, whereas there has been significant progress in improving methods of structural biology, particularly in X-ray crystallography, corresponding progress in the development of computational methods (such as in silico high-throughput screening) is still on the horizon. Crystal structures can be overinterpreted and thus bias hypotheses and follow-up experiments. As in any experimental science, the models of macromolecular structures derived from X-ray diffraction data have their limitations, which need to be critically evaluated and well understood for structure-based drug discovery.

Areas Covered: This review describes how the validity, accuracy and precision of a protein or nucleic acid structure determined by X-ray crystallography can be evaluated from three different perspectives: i) the nature of the diffraction experiment; ii) the interpretation of an electron density map; and iii) the interpretation of the structural model in terms of function and mechanism. The strategies to optimally exploit a macromolecular structure are also discussed in the context of 'Big Data' analysis, biochemical experimental design and structure-based drug discovery.

Expert Opinion: Although X-ray crystallography is one of the most detailed 'microscopes' available today for examining macromolecular structures, the authors would like to re-emphasize that such structures are only simplified models of the target macromolecules. The authors also wish to reinforce the idea that a structure should not be thought of as a set of precise coordinates but rather as a framework for generating hypotheses to be explored. Numerous biochemical and biophysical experiments, including new diffraction experiments, can and should be performed to verify or falsify these hypotheses. X-ray crystallography will find its future application in drug discovery by the development of specific tools that would allow realistic interpretation of the outcome coordinates and/or support testing of these hypotheses.

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References
1.
Rafi S, Novichenok P, Kolappan S, Stratton C, Rawat R, Kisker C . Structure of acyl carrier protein bound to FabI, the FASII enoyl reductase from Escherichia coli. J Biol Chem. 2006; 281(51):39285-39293. PMC: 4819000. DOI: 10.1074/jbc.M608758200. View

2.
Sukumar N, Das S . Current trends in virtual high throughput screening using ligand-based and structure-based methods. Comb Chem High Throughput Screen. 2011; 14(10):872-88. DOI: 10.2174/138620711797537120. View

3.
Borek D, Cymborowski M, Machius M, Minor W, Otwinowski Z . Diffraction data analysis in the presence of radiation damage. Acta Crystallogr D Biol Crystallogr. 2010; 66(Pt 4):426-36. PMC: 2852307. DOI: 10.1107/S0907444909040177. View

4.
Domagalski M, Zheng H, Zimmerman M, Dauter Z, Wlodawer A, Minor W . The quality and validation of structures from structural genomics. Methods Mol Biol. 2013; 1091:297-314. PMC: 4081469. DOI: 10.1007/978-1-62703-691-7_21. View

5.
Osterberg F, Morris G, Sanner M, Olson A, Goodsell D . Automated docking to multiple target structures: incorporation of protein mobility and structural water heterogeneity in AutoDock. Proteins. 2001; 46(1):34-40. DOI: 10.1002/prot.10028. View