Memoir

Memoir performs template-based homology modeling of membrane proteins to generate structural models that account for lipid bilayer constraints for use in structural biology and drug discovery.


Key Features:

  • Specialized homology modeling: Performs template-based structure prediction specifically tailored for transmembrane proteins.
  • Alignment and coordinate generation software: Uses alignment and coordinate generation algorithms that consider the unique constraints imposed by the lipid bilayer on protein structure.
  • Support for α-helical and β-barrel proteins: Accommodates modeling of both α-helical and β-barrel membrane protein classes.
  • Model refinement support: Provides alternative conformations for modeled loops and a multiple sequence alignment integrating the query and template sequences to support refinement.

Scientific Applications:

  • Structural biology: Generates membrane protein models to support structural interpretation and functional inference.
  • Drug discovery: Provides structural models of membrane protein targets to aid therapeutic design.
  • Disease mechanism studies: Enables modeling of membrane proteins to investigate disease-related structural changes.

Methodology:

Template-based homology modeling using alignment and coordinate generation software that accounts for lipid bilayer constraints, producing multiple sequence alignments integrating query and template sequences and alternative loop conformations.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
3/25/2017
Last Updated:
11/25/2024

Operations

Publications

Ebejer J, Hill JR, Kelm S, Shi J, Deane CM. Memoir: template-based structure prediction for membrane proteins. Nucleic Acids Research. 2013;41(W1):W379-W383. doi:10.1093/nar/gkt331. PMID:23640332. PMCID:PMC3692111.

Documentation