Vesicle Viewer
Vesicle Viewer analyzes small-angle scattering (SAS) data from unilamellar lipid bilayer vesicles to extract bilayer structural parameters such as area per lipid and bilayer thickness.
Key Features:
- Small-Angle Scattering (SAS) analysis: Performs analysis of SAS data from unilamellar lipid bilayer vesicles.
- Modified Scattering Density Profile (EZ-SDP): Implements the EZ-SDP approach to determine bilayer structural parameters including area per lipid and bilayer thickness.
- Asymmetric bilayer modeling: Models chemically and isotopically asymmetric lipid bilayers.
- SAXS and SANS support: Applies to small-angle X-ray scattering (SAXS) and small-angle neutron scattering (SANS) datasets.
- Computational stack: Uses Django with NumPy for computation and Matplotlib for plotting of scattering profiles and fits.
Scientific Applications:
- Membrane structure determination: Derives quantitative bilayer parameters from SAS experiments for structural biology studies.
- Asymmetric membrane analysis: Enables investigation of chemical and isotopic asymmetries in lipid bilayers.
- SAXS/SANS data interpretation: Supports analysis and fitting of SAXS and SANS datasets from unilamellar vesicles.
Methodology:
Implements modified Scattering Density Profile (EZ-SDP) analysis with computational components implemented using Django, NumPy and Matplotlib.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/21/2022
- Last Updated:
- 1/21/2022
Operations
Publications
Lewis-Laurent A, Doktorova M, Heberle FA, Marquardt D. Vesicle Viewer: Online visualization and analysis of small-angle scattering from lipid vesicles. Biophysical Journal. 2021;120(21):4639-4648. doi:10.1016/j.bpj.2021.09.018. PMID:34571013. PMCID:PMC8595566.
PMID: 34571013
PMCID: PMC8595566
Funding: - National Institute of General Medical Sciences: F32GM134704, R01GM138887
- Natural Sciences and Engineering Research Council of Canada: RGPIN-2018-04841
- National Science Foundation: MCB-1817929