Memdock

Memdock predicts complexes of α-helical membrane proteins by explicitly accounting for the lipid bilayer to model membrane protein interactions.


Key Features:

  • Lipid Bilayer Environment Consideration: Incorporates the lipid bilayer context into docking calculations to more accurately model α-helical membrane protein behavior and interactions.
  • Three-step Docking Process: Performs initial docking to generate potential complexes, refinement to optimize complex geometry and stability, and re-ranking by energy criteria to prioritize favorable configurations.
  • Membrane-specific Customization: Tailors each docking, refinement, and re-ranking step to membrane environment properties to improve prediction accuracy and reduce runtime.

Scientific Applications:

  • Membrane protein complex prediction: Predicts potential complexes formed by pairs of α-helical membrane protein molecules within the lipid bilayer context.
  • Signal transduction studies: Enables investigation of membrane protein interactions involved in signal transduction pathways.
  • Transport mechanism analysis: Supports examination of protein-protein interactions relevant to membrane transport mechanisms.
  • Enzymatic activity investigation: Facilitates study of interactions affecting enzymatic activities of membrane-bound proteins.
  • Hypothesis generation and experimental design: Provides energy-ranked lists of candidate complexes to guide functional hypotheses and the design of validation experiments.

Methodology:

Performs initial docking to generate candidate complexes, refines and optimizes these complexes, and re-ranks them using energy criteria while explicitly incorporating the lipid bilayer and tailoring each step to membrane environment properties.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
12/4/2021
Last Updated:
12/4/2021

Operations

Publications

Hurwitz N, Wolfson HJ. Memdock: An α-Helical Membrane Protein Docking Algorithm. Methods in Molecular Biology. 2021. doi:10.1007/978-1-0716-1468-6_7. PMID:34302673.