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Molecular simulation-based structural prediction of protein complexes in mass spectrometry: the human insulin dimer.


ABSTRACT: Protein electrospray ionization (ESI) mass spectrometry (MS)-based techniques are widely used to provide insight into structural proteomics under the assumption that non-covalent protein complexes being transferred into the gas phase preserve basically the same intermolecular interactions as in solution. Here we investigate the applicability of this assumption by extending our previous structural prediction protocol for single proteins in ESI-MS to protein complexes. We apply our protocol to the human insulin dimer (hIns2) as a test case. Our calculations reproduce the main charge and the collision cross section (CCS) measured in ESI-MS experiments. Molecular dynamics simulations for 0.075 ms show that the complex maximizes intermolecular non-bonded interactions relative to the structure in water, without affecting the cross section. The overall gas-phase structure of hIns2 does exhibit differences with the one in aqueous solution, not inferable from a comparison with calculated CCS. Hence, care should be exerted when interpreting ESI-MS proteomics data based solely on NMR and/or X-ray structural information.

SUBMITTER: Li J 

PROVIDER: S-EPMC4161290 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Molecular simulation-based structural prediction of protein complexes in mass spectrometry: the human insulin dimer.

Li Jinyu J   Rossetti Giulia G   Dreyer Jens J   Raugei Simone S   Ippoliti Emiliano E   Lüscher Bernhard B   Carloni Paolo P  

PLoS computational biology 20140911 9


Protein electrospray ionization (ESI) mass spectrometry (MS)-based techniques are widely used to provide insight into structural proteomics under the assumption that non-covalent protein complexes being transferred into the gas phase preserve basically the same intermolecular interactions as in solution. Here we investigate the applicability of this assumption by extending our previous structural prediction protocol for single proteins in ESI-MS to protein complexes. We apply our protocol to the  ...[more]

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