MAINMAST

MAINMAST constructs complete three-dimensional protein models directly from cryo-electron microscopy (cryo-EM) density maps to enable de novo interpretation of near-atomic-resolution EM data (~4–4.5 Å).


Key Features:

  • De Novo Modeling: Performs reference-free model building directly from EM density maps without requiring known structures.
  • Fully Automated Pipeline: Executes model construction and analysis without manual intervention.
  • Initial C-alpha Model Generation: Produces reliable initial C-alpha backbone models as the basis for atomic-level model building.
  • Backbone Tracing and Main-Chain Identification: Traces protein backbone paths and identifies main-chain structures from density maps.
  • Amino Acid Sequence Assignment: Assigns amino acid sequences to traced main-chain positions based on the density.
  • Candidate Model Pooling: Generates multiple candidate models to represent alternative interpretations of the density.
  • Near-Atomic Resolution Capability: Tailored for interpreting EM maps at near-atomic resolution (~4–4.5 Å) to recover backbone structures.

Scientific Applications:

  • Interpretation of cryo-EM Density Maps: Enables building atomic models from near-atomic-resolution EM maps for structural analysis.
  • Structural Biology and Model Building: Facilitates determination of protein architecture without prior structural information.
  • Drug Discovery Support: Provides structural models that can inform structure-based drug design and ligand interpretation.
  • Enzyme Mechanism Elucidation: Supplies models to investigate catalytic sites and mechanistic hypotheses.
  • Study of Complex Biological Assemblies: Aids characterization of subunit organization and interfaces within macromolecular complexes.

Methodology:

Traces protein backbone directly from EM density maps, generates initial C-alpha backbone models, identifies main-chain structures, assigns amino acid sequences, and produces multiple candidate models using a fully automated de novo modeling protocol tailored for near-atomic-resolution cryo-EM data.

Topics

Details

Tool Type:
command-line tool
Added:
1/18/2021
Last Updated:
2/19/2021

Operations

Publications

Terashi G, Zha Y, Kihara D. Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin. Methods in Molecular Biology. 2020. doi:10.1007/978-1-0716-0708-4_19. PMID:32621234.

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