MOLE PyMOL plugin
MOLE PyMOL plugin extends MOLE 2.0 to analyze and visualize molecular channels and pores in proteins and nucleic acids.
Key Features:
- PyMOL integration: Integrates with PyMOL to visualize and analyze channels and pores in biomacromolecules.
- Automatic Detection: Provides extended options to automatically detect starting points of channels for channel identification.
- Channel Filtering: Implements filtering mechanisms to select biologically relevant channels from identified candidates.
- Physicochemical Property Estimation: Estimates hydropathy, hydrophobicity, polarity, charge, and mutability of channels.
Scientific Applications:
- Molecular recognition: Enables analysis of channel properties to investigate molecular recognition and substrate specificity.
- Enzyme substrate specificity: Assesses channel physicochemical features to correlate with enzyme substrate access and specificity.
- Structure–function analysis: Facilitates analysis of structural and functional aspects of molecular channels and pores across biomacromolecules.
- Drug design and enzyme mechanisms: Provides physicochemical profiles of channels to support hypotheses in drug design and enzyme mechanism studies.
- Protein–nucleic acid interactions: Supports exploration of channels in protein–nucleic acid complexes by characterizing their physicochemical properties.
Methodology:
Developed as part of MOLE 2.0; uses algorithms benchmarked against other software tools and analyzes X-ray structures to assess variability in channel physicochemical properties across biomacromolecules, including cytochrome P450 superfamily members.
Topics
Collections
Details
- License:
- Other
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- plugin
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python, C#
- Added:
- 12/2/2015
- Last Updated:
- 11/25/2024
Operations
Publications
Sehnal D, Svobodová Vařeková R, Berka K, Pravda L, Navrátilová V, Banáš P, Ionescu C, Otyepka M, Koča J. MOLE 2.0: advanced approach for analysis of biomacromolecular channels. Journal of Cheminformatics. 2013;5(1). doi:10.1186/1758-2946-5-39. PMID:23953065. PMCID:PMC3765717.
Documentation
Citation instructions
http://www.jcheminf.com/content/5/1/39/citation