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dc.contributor.authorHungler, Arnaud
dc.contributor.authorMomin, Afaque Ahmad Imtiyaz
dc.contributor.authorDiederichs, Kay
dc.contributor.authorArold, Stefan T.
dc.date.accessioned2022-09-20T11:45:04Z
dc.date.available2022-09-12T11:46:32Z
dc.date.available2022-09-20T11:31:37Z
dc.date.available2022-09-20T11:45:04Z
dc.date.issued2019
dc.identifier.citationHungler, 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/s2053273319094804
dc.identifier.issn2053-2733
dc.identifier.doi10.1107/S2053273319094804
dc.identifier.urihttp://hdl.handle.net/10754/681209
dc.description.abstractSolving 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).
dc.publisherINT UNION CRYSTALLOGRAPHY
dc.relation.urlhttp://scripts.iucr.org/cgi-bin/paper?S2053273319094804
dc.subjectmolecular replacement
dc.subjectcontaminant crystals
dc.subjectweb server
dc.titleCONTAMINER AND CONTABASE: AUTOMATED IDENTIFICATION OF UNWANTEDLY CRYSTALLIZED PROTEIN CONTAMINANTS
dc.typePresentation
dc.contributor.departmentBiological and Environmental Science and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentKing Abdullah Univ Sci & Technol, Computat Biosci Res Ctr CBRC, Thuwal, Saudi Arabia
dc.contributor.departmentKing Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia
dc.contributor.departmentStructural Biology and Engineering
dc.identifier.journalACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES
dc.identifier.wosutWOS:000552083100077
dc.contributor.institutionUniv Konstanz, Constance, Germany
dc.identifier.volume75
dc.identifier.issuea2
dc.identifier.pagesE76-E76
kaust.personHungler, Arnaud
kaust.personMomin, Afaque Ahmad Imtiyaz
kaust.personArold, Stefan T.


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