CONTAMINER AND CONTABASE: AUTOMATED IDENTIFICATION OF UNWANTEDLY CRYSTALLIZED PROTEIN CONTAMINANTS
Type
PresentationKAUST Department
Biological and Environmental Science and Engineering (BESE) DivisionBioscience Program
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr CBRC, Thuwal, Saudi Arabia
King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia
Structural Biology and Engineering
Date
2019Permanent link to this record
http://hdl.handle.net/10754/681209
Metadata
Show full item recordAbstract
Solving the phase problem in protein X-ray crystallography relies heavily on the identity of the crystallized protein, especially when molecular replacement (MR) methods are used. Yet, it is not uncommon that a contaminant crystallizes instead of the protein of interest. Such contaminants may be proteins from the expression host organism, protein fusion tags or proteins added during the purification steps. Many contaminants co-purify easily, crystallize and give good diffraction data. Identification of contaminant crystals may take time, since the presence of the contaminant is unexpected, and its identity unknown. We have established a webserver (ContaMiner) and a contaminant database (ContaBase), both available at strube.cbrc.kaust.edu.sa/contaminer/, to allow fast automated MR-based screening of crystallographic data against currently ~80 known contaminants from several different expression systems and contaminating microbes. Here we present the latest developments of ContaMiner, and highlight a curious case of a structurally altered domain-swapped maltose-binding protein (MBP).Citation
Hungler, A., Momin, A., Diederichs, K., & Arold, S. (2019). ContaMiner and ContaBase: automated identification of unwantedly crystallized protein contaminants. Acta Crystallographica Section A Foundations and Advances, 75(a2), e76–e76. https://doi.org/10.1107/s2053273319094804Publisher
INT UNION CRYSTALLOGRAPHYAdditional Links
http://scripts.iucr.org/cgi-bin/paper?S2053273319094804ae974a485f413a2113503eed53cd6c53
10.1107/S2053273319094804