4.7 Article

MemProtMD: Automated Insertion of Membrane Protein Structures into Explicit Lipid Membranes

Journal

STRUCTURE
Volume 23, Issue 7, Pages 1350-1361

Publisher

CELL PRESS
DOI: 10.1016/j.str.2015.05.006

Keywords

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Funding

  1. Biological Sciences Research Council [BB/L002531/1, BB/I019855/1]
  2. Wellcome Trust
  3. Science Foundation Ireland [12/IA/1255]
  4. Irish Centre for High End Computing
  5. Biotechnology and Biological Sciences Research Council [BB/L002558/1, BB/L002531/1, BBS/B/16011, BEP17032, BB/H000267/1, BB/I019855/1, B19456] Funding Source: researchfish
  6. Engineering and Physical Sciences Research Council [EP/J010421/1] Funding Source: researchfish
  7. Medical Research Council [G0900399] Funding Source: researchfish
  8. Wellcome Trust [102890/Z/13/Z] Funding Source: researchfish
  9. BBSRC [BB/L002558/1, BB/L002531/1, BB/I019855/1, BB/H000267/1] Funding Source: UKRI
  10. EPSRC [EP/J010421/1] Funding Source: UKRI
  11. MRC [G0900399] Funding Source: UKRI

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There has been exponential growth in the number of membrane protein structures determined. Nevertheless, these structures are usually resolved in the absence of their lipid environment. Coarse-grained molecular dynamics (CGMD) simulations enable insertion of membrane proteins into explicit models of lipid bilayers. We have automated the CGMD methodology, enabling membrane protein structures to be identified upon their release into the PDB and embedded into a membrane. The simulations are analyzed for protein-lipid interactions, identifying lipid binding sites, and revealing local bilayer deformations plus molecular access pathways within the membrane. The coarse-grained models of membrane protein/bilayer complexes are transformed to atomistic resolution for further analysis and simulation. Using this automated simulation pipeline, we have analyzed a number of recently determined membrane protein structures to predict their locations within a membrane, their lipid/protein interactions, and the functional implications of an enhanced understanding of the local membrane environment of each protein.

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