The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2011
DOI: 10.1007/s13361-011-0281-y
|View full text |Cite
|
Sign up to set email alerts
|

Statistical Analysis of Ion Mobility Spectrometry. I. Unbiased and Guided Replica-Exchange Molecular Dynamics

Abstract: Achieving (bio)macromolecular structural assignment from the interpretation of ion mobility spectrometry (IMS) experiments requires successful comparison with computer modeling. Replica-exchange molecular dynamics simulations with suitable force fields not only offer a convenient framework to locate relevant conformations, especially in the case of multiple-funnel energy landscapes, but they are also well suited to statistical analyses. In the present paper, we discuss two extensions of the method used to impr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
35
0

Year Published

2012
2012
2017
2017

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 18 publications
(35 citation statements)
references
References 39 publications
(56 reference statements)
0
35
0
Order By: Relevance
“…Several enhanced sampling techniques allow the species to overcome energetic barriers and explore other conformational 5À on the Synapt G1 and (C) Reconstructed collision cross section distributions for the ion [(dTG 4 T) basins, for example simulated annealing molecular dynamics, [57][58][59][60] replica-exchange molecular dynamics [61][62][63] and adaptively biased molecular dynamics. [64,65] On the other hand, when the molecular system taken into account is too big, as for instance large multiprotein complexes (>500 kDa), all the aforementioned atomistic methods are still too computationally expensive, but some qualitative models can be built instead, such as (bead-type) coarse grained models. [37,[66][67][68][69] Force fields A possible pitfall intrinsic in classical MD simulations in gas phase is related to the use of force fields (FFs) that are presently parameterized based on high-level quantum calculations, but eventually tested and tuned in aqueous phase (with either explicit or implicit water models).…”
Section: Computational Approachesmentioning
confidence: 99%
“…Several enhanced sampling techniques allow the species to overcome energetic barriers and explore other conformational 5À on the Synapt G1 and (C) Reconstructed collision cross section distributions for the ion [(dTG 4 T) basins, for example simulated annealing molecular dynamics, [57][58][59][60] replica-exchange molecular dynamics [61][62][63] and adaptively biased molecular dynamics. [64,65] On the other hand, when the molecular system taken into account is too big, as for instance large multiprotein complexes (>500 kDa), all the aforementioned atomistic methods are still too computationally expensive, but some qualitative models can be built instead, such as (bead-type) coarse grained models. [37,[66][67][68][69] Force fields A possible pitfall intrinsic in classical MD simulations in gas phase is related to the use of force fields (FFs) that are presently parameterized based on high-level quantum calculations, but eventually tested and tuned in aqueous phase (with either explicit or implicit water models).…”
Section: Computational Approachesmentioning
confidence: 99%
“…Although increasingly successful for interpreting ion mobility measurements [4,5,8,24], conventional molecular dynamics simulations may also face difficulties in locating conformations compatible with experiments due to either intrinsic force field limitations, or insufficient sampling time [24]. One useful strategy to facilitate interpretation of IMS measurements consists in guiding the sampling toward the regions of experimental interest, using a dedicated order parameter that hopefully mimics the measured property.…”
mentioning
confidence: 99%
“…One useful strategy to facilitate interpretation of IMS measurements consists in guiding the sampling toward the regions of experimental interest, using a dedicated order parameter that hopefully mimics the measured property. The collision cross section itself cannot be used actively in such MD simulations, because it is not an explicit function of the coordinates (no gradient is available), but the gyration radius turns out to be a reasonable approximation [24]. It should be stressed here that the biased MD approach does not aim at approximating the CCS by a geometrical quantity, but to take advantage of the relation between the CCS and the molecular structure in order to save computational time in the production of realistic candidate structures.…”
mentioning
confidence: 99%
See 2 more Smart Citations