title: Multi-scaled normal mode analysis method for dynamics simulation of protein-membrane complexes: A case study of potassium channel gating motion correlations.
abstract: Membrane proteins play critically important roles in many cellular activities such as ions and small molecule transportation, signal recognition, and transduction. In order to fulfill their functions, these proteins must be placed in different membrane environments and a variety of protein-lipid interactions may affect the behavior of these proteins. One of the key effects of protein-lipid interactions is their ability to change the dynamics status of membrane proteins, thus adjusting their functions. Here, we present a multi-scaled normal mode analysis (mNMA) method to study the dynamics perturbation to the membrane proteins imposed by lipid bi-layer membrane fluctuations. In mNMA, channel proteins are simulated at all-atom level while the membrane is described with a coarse-grained model. mNMA calculations clearly show that channel gating motion can tightly couple with a variety of membrane deformations, including bending and twisting. We then examined bi-channel systems where two channels were separated with different distances. From mNMA calculations, we observed both positive and negative gating correlations between two neighboring channels, and the correlation has a maximum as the channel center-to-center distance is close to 2.5 times of their diameter. This distance is larger than recently found maximum attraction distance between two proteins embedded in membrane which is 1.5 times of the protein size, indicating that membrane fluctuation might impose collective motions among proteins within a larger area. The hybrid resolution feature in mNMA provides atomic dynamics information for key components in the system without costing much computer resource. We expect it to be a conventional simulation tool for ordinary laboratories to study the dynamics of very complicated biological assemblies. The source code is available upon request to the authors.
authors.affiliation: Department of Physiology and Biophysics, School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Xiaokun
authors.initials: X
authors.lastname: Wu
authors.affiliation: Department of Physiology and Biophysics, School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Min
authors.initials: M
authors.lastname: Han
authors.affiliation: Department of Physiology and Biophysics, School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Dengming
authors.initials: D
authors.lastname: Ming
mesh_terms: D015640:Ion Channel Gating; D008051:Lipid Bilayers / Q000737:chemistry* / Q000378:metabolism*; D056004:Molecular Dynamics Simulation; D015221:Potassium Channels / Q000737:chemistry* / Q000378:metabolism*
chemical_list: D008051:Lipid Bilayers; D015221:Potassium Channels