Literature DB >> 17511498

A minimalist model for exploring conformational effects on the electrospray charge state distribution of proteins.

Lars Konermann1.   

Abstract

The electrospray ionization (ESI) charge state distribution of proteins is highly sensitive to the protein structure in solution. Unfolded conformations generally form higher charge states than tightly folded structures. The current study employs a minimalist molecular dynamics model for simulating the final stages of the ESI process in order to gain insights into the physical reasons underlying this empirical relationship. The protein is described as a string of 27 beads ("residues"), 9 of which are negatively charged and represent possible protonation sites. The unfolded state of this bead string is a random coil, whereas the native conformation adopts a compact fold. The ESI process is simulated by placing the protein inside a solvent droplet with a 2.5 nm radius consisting of 1600 Lennard-Jones particles. In addition, the droplet contains 14 protons which are modeled as highly mobile point charges. Disintegration of the droplet rapidly releases the protein into the gas phase, resulting in average charge states of 4.8+ and 7.4+ for the folded and unfolded conformation, respectively. The protonation probabilities of individual residues in the folded state reveal a characteristic pattern, with values ranging from 0.2 to 0.8. In contrast, the protonation probabilities of the unfolded protein are more uniform and cover the range from 0.8 to 1.0. The origin of these differences can be traced back to a combination of steric and electrostatic effects. Residues exhibiting a small accessible surface area are less likely to capture a proton, an effect that is exacerbated by partial electrostatic shielding from nearby positive residues. Conversely, sites that are sterically exposed are associated with electrostatic funnels that greatly increase the likelihood of protonation. Unfolding enhances the steric and electrostatic exposure of protonation sites, thereby causing the protein to capture a greater number of protons during the droplet disintegration process.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17511498     DOI: 10.1021/jp070720t

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  17 in total

1.  A simple model for the disintegration of highly charged solvent droplets during electrospray ionization.

Authors:  Lars Konermann
Journal:  J Am Soc Mass Spectrom       Date:  2008-11-21       Impact factor: 3.109

Review 2.  Image analysis tools and emerging algorithms for expression proteomics.

Authors:  Andrew W Dowsey; Jane A English; Frederique Lisacek; Jeffrey S Morris; Guang-Zhong Yang; Michael J Dunn
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

3.  Characterization of intrinsically disordered proteins with electrospray ionization mass spectrometry: conformational heterogeneity of alpha-synuclein.

Authors:  Agya K Frimpong; Rinat R Abzalimov; Vladimir N Uversky; Igor A Kaltashov
Journal:  Proteins       Date:  2010-02-15

4.  A computational model for protein ionization by electrospray based on gas-phase basicity.

Authors:  Roberto Marchese; Rita Grandori; Paolo Carloni; Simone Raugei
Journal:  J Am Soc Mass Spectrom       Date:  2012-09-20       Impact factor: 3.109

5.  Investigating the role of adducts in protein supercharging with sulfolane.

Authors:  Kevin Aart Douglass; Andre R Venter
Journal:  J Am Soc Mass Spectrom       Date:  2012-01-05       Impact factor: 3.109

Review 6.  Principles of electrospray ionization.

Authors:  Matthias Wilm
Journal:  Mol Cell Proteomics       Date:  2011-07       Impact factor: 5.911

7.  What protein charging (and supercharging) reveal about the mechanism of electrospray ionization.

Authors:  Rachel R Ogorzalek Loo; Rajeswari Lakshmanan; Joseph A Loo
Journal:  J Am Soc Mass Spectrom       Date:  2014-08-19       Impact factor: 3.109

8.  On the zwitterionic nature of gas-phase peptides and protein ions.

Authors:  Roberto Marchese; Rita Grandori; Paolo Carloni; Simone Raugei
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

9.  Order propensity of an intrinsically disordered protein, the cyclin-dependent-kinase inhibitor Sic1.

Authors:  Stefania Brocca; Mária Samalíková; Vladimir N Uversky; Marina Lotti; Marco Vanoni; Lilia Alberghina; Rita Grandori
Journal:  Proteins       Date:  2009-08-15

10.  Characterization of acid-induced protein conformational changes and noncovalent complexes in solution by using coldspray ionization mass spectrometry.

Authors:  Na Guo; Ruiping Zhang; Fei Song; Jiuming He; Bin Xia; Zeper Abliz
Journal:  J Am Soc Mass Spectrom       Date:  2009-01-09       Impact factor: 3.109

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.