Supplementary data for the paper "Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors"

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Abstract/Contents

Abstract

It is unclear how the known atomic structures of NMDA receptors (NMDARs) relate to the functional states of NMDARs inferred from electrophysiological recordings. We address this problem by all-atom computer simulations, a method successfully applied in the past to much smaller biomolecules. Our simulations predict that four ‘non-active’ cryoEM structures of NMDARs rapidly interconvert on submicrosecond timescales, and therefore, correspond to the same functional state of the receptor.

The files 'structures_and_computations.zip' and 'structures_and_computations.tar.gz' (the same contents, different archiving formats) contain scripts and high-level data mentioned in the paper (computation of time-independent based components, specification of Markov state models, etc.). The file 'trajectories.tar' can be assembled from the provided 280 files named 'trajectories.tar.part_*' by "cat trajectories.tar.part_* > trajectories.tar". The file 'trajectories.tar' contains the molecular dynamics trajectories of NMDA receptors used in this paper. Note that 'trajectories.tar' is 2.8 Tb in size, as well as the folder generated by untarring it.

Description

Type of resource software, multimedia
Date created June 2017
Language English

Creators/Contributors

Author Sinitskiy, Anton
Advisor Pande, Vijay

Subjects

Subject NMDA receptor
Subject molecular dynamics
Subject MD
Subject Markov state models
Subject MSM
Subject neuronal receptor
Subject transmembrane protein
Subject ion channel
Subject glutamate
Subject molecular neuroscience
Genre Dataset

Bibliographic information

Related Publication Sinitskiy, A.V. and Pande, V.S. (2018). Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors. Biophysical Journal. https://doi.org/10.1016/j.bpj.2018.06.023
Location https://purl.stanford.edu/jf301dx7536
Repository Stanford University. Libraries

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This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

Preferred citation

Preferred Citation
Sinitskiy, Anton and Pande, Vijay. (2017). Supplementary data for the paper "Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors." Stanford Digital Repository. Available at: http://purl.stanford.edu/jf301dx7536

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