Abstract
Protein crystallization screening helps determine factors (e.g., salts, pH of buffers, ionic strengths, temperature, and type of precipitants) that are favorable for the formation of a large protein crystal suitable for X-ray crystallography. While existing commercial screens may not generate crystalline outcomes for difficult proteins, their outcomes could be used for recommending novel screens. Current methods for protein crystallization screening such as associative experimental design (AED) process only cocktails having one chemical per reagent while ignoring cocktails with multiple chemicals per reagent. To analyze cocktails having multiple chemicals per reagent, we propose enhanced associative experimental design (AED) that recommends novel crystallization conditions by analyzing the content of successful preliminary crystallization conditions. In wet lab experiments, our enhanced AED (AED\(^+\)) yielded ten new crystalline conditions for Tt189 (Nucleoside diphosphate kinase) in addition to 20 crystalline conditions generated by AED. Moreover, our AED+ allows pairing of crystalline or likely lead outcome with a non-crystalline outcome to generate novel crystalline conditions overcoming the limitation of AED requiring at least two good cocktails having at least one coming reagent.
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References
Acharya S (2016) Genscreen: a genetic algorithm for protein crystallization screening: a thesis. Ph.D. thesis, University of Alabama in Huntsville
Acharya S, Pusey M, Aygun R, Dinc I (2016) A genetic algorithm for the optimization of protein crystallization screening. In: International conference on crystallization of biological macromolecules
Asherie N (2004) Protein crystallization and phase diagrams. Methods 34(3):266. https://doi.org/10.1016/j.ymeth.2004.03.028
Bhattarai B, Shrestha M, Aygun RS, Pusey ML (2017) In: 2017 IEEE international conference on bioinformatics and biomedicine (BIBM), pp 2083–2090. https://doi.org/10.1109/BIBM.2017.8217981
Carter CW, Carter CW (1979) Protein crystallization using incomplete factorial experiments. J Biol Chem 254(23):12219
Carvalho AL, Trincão J, Romão MJ (2010) In: Ligand-macromolecular interactions in drug discovery. Methods in molecular biology. Humana Press, Totowa, pp 31–56. https://doi.org/10.1007/978-1-60761-244-5_3
Chayen NE, Saridakis E (2008) Protein crystallization: from purified protein to diffraction-quality crystal. Nat Methods 5(2):147. https://doi.org/10.1038/nmeth.f.203. http://www.nature.com/nmeth/journal/v5/n2/full/nmeth.f.203.html?foxtrotcallback=true
Dale GE, Oefner C, D’Arcy A (2003) The protein as a variable in protein crystallization. J Struct Biol 142(1):88. https://doi.org/10.1016/S1047-8477(03)00041-8
Dinc I, Pusey ML, Aygun RS (2015) Protein crystallization screening using associative experimental design. In: International symposium on bioinformatics research and applications. Springer, Cham, pp 84–95
Dinc I, Pusey ML, Aygun RS (2016) Optimizing associative experimental design for protein crystallization screening. IEEE Trans NanoBiosci 15(2):101. https://doi.org/10.1109/TNB.2016.2536030
Hurrion RD, Birgil S (1999) A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels. J Oper Res Soc 50(10):1018. https://doi.org/10.1057/palgrave.jors.2600812
Jancarik J, Kim SH (1991) Sparse matrix sampling: a screening method for crystallization of proteins. J Appl Crystallogr 24(4):409. https://doi.org/10.1107/S0021889891004430
Montgomery DC (2017) Design and analysis of experiments, 9th edn. Wiley, New York
Pusey ML, Aygun RS (2017) Data analytics for protein crystallization. Springer, Cham
Rupp B (2015) Origin and use of crystallization phase diagrams. Acta Crystallogr Sect F Struct Biol Commun 71(3):247. https://doi.org/10.1107/S2053230X1500374X. http://scripts.iucr.org/cgi-bin/paper?en5561
Scoring HR (2017) https://hamptonresearch.com/documents/product/hr008114_binder1.pdf. Accessed 12 Jan 2017
Segelke BW (2001) Efficiency analysis of sampling protocols used in protein crystallization screening. J Cryst Growth 232(1):553. https://doi.org/10.1016/S0022-0248(01)01154-X
Shrestha M, Bhattarai B, Aygun RS, Pusey ML (2017) In: 2017 IEEE international conference on bioinformatics and biomedicine (BIBM), pp 2306–2308. https://doi.org/10.1109/BIBM.2017.8218037
Shrestha M, Tran TX, Bhattarai B, Pusey ML, Aygun RS (2019) Schema matching and data integration with consistent naming on protein crystallization screens. In: IEEE/ACM transactions on computational biology and bioinformatics
Sigdel M, Pusey ML, Aygun RS (2013) Real-time protein crystallization image acquisition and classification system. Cryst Growth Des 13(7):2728. https://doi.org/10.1021/cg3016029
Sigdel M, Pusey ML, Aygun RS (2015) CrystPro: spatiotemporal analysis of protein crystallization images. Cryst Growth Des 15(11):5254. https://doi.org/10.1021/acs.cgd.5b00714
Smyth MS, Martin JHJ (2000) X-ray crystallography. Mol Pathol 53(1):8. https://doi.org/10.1136/mp.53.1.8. http://mp.bmj.com/content/53/1/8
Subedi S, Pusey ML, Aygun RS (2017) In: 2017 IEEE international conference on bioinformatics and biomedicine (BIBM), pp 2316–2318. https://doi.org/10.1109/BIBM.2017.8218041
Yann MLJ, Tang Y (2016) In: Thirtieth AAAI conference on artificial intelligence. https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11965. Accessed 17 July 2019
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This research was supported by National Institutes of Health (GM090453) grant and (GM116283) grant.
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Juttu, M.K., Pusey, M.L. & Aygun, R.S. Protein crystallization screening using enhanced associative experimental design. Netw Model Anal Health Inform Bioinforma 8, 17 (2019). https://doi.org/10.1007/s13721-019-0199-z
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DOI: https://doi.org/10.1007/s13721-019-0199-z