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NMR relaxation in proteins with fast internal motions and slow conformational exchange: model-free framework and Markov state simulations.


ABSTRACT: Calculating NMR relaxation effects for proteins with dynamics on multiple time scales generally requires very long trajectories based on conventional molecular dynamics simulations. In this report, we have built Markov state models from multiple MD trajectories and used the resulting MSM to capture the very fast internal motions of the protein within a free energy basin on a time scale up to hundreds of picoseconds and the more than 3 orders of magnitude slower conformational exchange between macrostates. To interpret the relaxation data, we derive new equations using the model-free framework which includes two slowly exchanging macrostates, each of which also exhibits fast local motions. Using simulations of HIV-1 protease as an example, we show how the populations of slowly exchanging conformational states as well as order parameters for the different states can be determined from the NMR relaxation data.

SUBMITTER: Xia J 

PROVIDER: S-EPMC3727231 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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NMR relaxation in proteins with fast internal motions and slow conformational exchange: model-free framework and Markov state simulations.

Xia Junchao J   Deng Nan-jie NJ   Levy Ronald M RM  

The journal of physical chemistry. B 20130528 22


Calculating NMR relaxation effects for proteins with dynamics on multiple time scales generally requires very long trajectories based on conventional molecular dynamics simulations. In this report, we have built Markov state models from multiple MD trajectories and used the resulting MSM to capture the very fast internal motions of the protein within a free energy basin on a time scale up to hundreds of picoseconds and the more than 3 orders of magnitude slower conformational exchange between ma  ...[more]

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