000280466 001__ 280466
000280466 005__ 20210129221336.0
000280466 0247_ $$2doi$$a10.1002/mas.21465
000280466 0247_ $$2ISSN$$a0277-7037
000280466 0247_ $$2ISSN$$a1098-2787
000280466 0247_ $$2WOS$$aWOS:000368739100007
000280466 0247_ $$2altmetric$$aaltmetric:3976547
000280466 0247_ $$2pmid$$apmid:25952139
000280466 037__ $$aFZJ-2016-00240
000280466 082__ $$a530
000280466 1001_ $$0P:(DE-Juel1)166112$$aLi, Jinyu$$b0
000280466 245__ $$aConformational effects in protein electrospray-ionization mass spectrometry
000280466 260__ $$aNew York, NY [u.a.]$$bWiley$$c2016
000280466 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1452513587_913
000280466 3367_ $$2DataCite$$aOutput Types/Journal article
000280466 3367_ $$00$$2EndNote$$aJournal Article
000280466 3367_ $$2BibTeX$$aARTICLE
000280466 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000280466 3367_ $$2DRIVER$$aarticle
000280466 520__ $$aElectrospray-ionization mass spectrometry (ESI-MS) is a key tool of structural biology, complementing the information delivered by conventional biochemical and biophysical methods. Yet, the mechanism behind the conformational effects in protein ESI-MS is an object of debate. Two parameters—solvent-accessible surface area (As) and apparent gas-phase basicity (GBapp)—are thought to play a role in controlling the extent of protein ionization during ESI-MS experiments. This review focuses on recent experimental and theoretical investigations concerning the influence of these parameters on ESI-MS results and the structural information that can be derived. The available evidence supports a unified model for the ionization mechanism of folded and unfolded proteins. These data indicate that charge-state distribution (CSD) analysis can provide valuable structural information on normally folded, as well as disordered structures.
000280466 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0
000280466 536__ $$0G:(DE-HGF)POF3-574$$a574 - Theory, modelling and simulation (POF3-574)$$cPOF3-574$$fPOF III$$x1
000280466 588__ $$aDataset connected to CrossRef
000280466 7001_ $$0P:(DE-HGF)0$$aSantambrogio, Carlo$$b1
000280466 7001_ $$0P:(DE-HGF)0$$aBrocca, Stefania$$b2
000280466 7001_ $$0P:(DE-Juel1)145921$$aRossetti, Giulia$$b3$$ufzj
000280466 7001_ $$0P:(DE-Juel1)145614$$aCarloni, Paolo$$b4$$ufzj
000280466 7001_ $$0P:(DE-HGF)0$$aGrandori, Rita$$b5$$eCorresponding author
000280466 773__ $$0PERI:(DE-600)1491946-1$$a10.1002/mas.21465$$gVol. 35, no. 1, p. 111 - 122$$n1$$p111 - 122$$tMass spectrometry reviews$$v35$$x0277-7037$$y2016
000280466 909CO $$ooai:juser.fz-juelich.de:280466$$pVDB
000280466 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145921$$aForschungszentrum Jülich GmbH$$b3$$kFZJ
000280466 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145614$$aForschungszentrum Jülich GmbH$$b4$$kFZJ
000280466 9131_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vComputational Science and Mathematical Methods$$x0
000280466 9131_ $$0G:(DE-HGF)POF3-574$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vTheory, modelling and simulation$$x1
000280466 9141_ $$y2016
000280466 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000280466 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000280466 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bMASS SPECTROM REV : 2014
000280466 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bMASS SPECTROM REV : 2014
000280466 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000280466 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000280466 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000280466 915__ $$0StatID:(DE-HGF)0550$$2StatID$$aNo Authors Fulltext
000280466 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000280466 915__ $$0StatID:(DE-HGF)1120$$2StatID$$aDBCoverage$$bBIOSIS Reviews Reports And Meetings
000280466 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000280466 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000280466 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000280466 920__ $$lyes
000280466 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000280466 9201_ $$0I:(DE-Juel1)INM-9-20140121$$kINM-9$$lComputational Biomedicine$$x1
000280466 9201_ $$0I:(DE-Juel1)IAS-5-20120330$$kIAS-5$$lComputational Biomedicine$$x2
000280466 9201_ $$0I:(DE-Juel1)GRS-20100316$$kGRS Jülich ; German Research School for Simulation Sciences$$lGRS$$x3
000280466 980__ $$ajournal
000280466 980__ $$aVDB
000280466 980__ $$aUNRESTRICTED
000280466 980__ $$aI:(DE-Juel1)JSC-20090406
000280466 980__ $$aI:(DE-Juel1)INM-9-20140121
000280466 980__ $$aI:(DE-Juel1)IAS-5-20120330
000280466 980__ $$aI:(DE-Juel1)GRS-20100316
000280466 981__ $$aI:(DE-Juel1)INM-9-20140121
000280466 981__ $$aI:(DE-Juel1)IAS-5-20120330
000280466 981__ $$aI:(DE-Juel1)GRS-20100316