PoreWalker
PoreWalker characterizes transmembrane protein channels from 3D structural coordinates by detecting pore centers and axes and quantifying pore geometry and cavity pathways.
Key Features:
- Automated Detection and Characterization: Identification and optimization of the pore center and axis using geometric criteria applied to 3D structural coordinates.
- Cavity Detection: Detection of the largest and longest cavity through the channel to define potential transport pathways.
- Quantitative and Visual Characterization: Calculation of diameter profiles, pore-lining residues, pore size, shape, and regularity, with corresponding visual representations.
- Application to Channel Families: Analysis of multiple transmembrane channel structures to identify family-characteristic features such as shape, size, and residue composition.
Scientific Applications:
- Structure–Function Analysis: Detailed pore characterizations to support studies of structure–function relationships in transmembrane channels.
- Comparative and Functional Analysis: Identification of family-specific geometric and residue features for comparative studies across channel families.
- Mechanistic Insights into Transport: Analysis of pore geometry and lining residues to inform understanding of ion and molecule transport and membrane biology.
Methodology:
Initial geometric optimization to determine the pore center and axis, followed by detection of the largest cavity through the channel and calculation of pore features including diameter profiles, pore-lining residues, pore size, shape, and regularity.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/29/2015
- Last Updated:
- 11/25/2024
Operations
Publications
Pellegrini-Calace M, Maiwald T, Thornton JM. PoreWalker: A Novel Tool for the Identification and Characterization of Channels in Transmembrane Proteins from Their Three-Dimensional Structure. PLoS Computational Biology. 2009;5(7):e1000440. doi:10.1371/journal.pcbi.1000440. PMID:19609355. PMCID:PMC2704872.