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.