chiLife
chiLife performs in silico site-directed spin label (SDSL) modeling for electron paramagnetic resonance (EPR) spectroscopy, including double electron-electron resonance (DEER), to predict spin-label conformations and interspin distances on protein structures.
Key Features:
- In Silico Spin Labeling: Attaches rotamer ensemble representations of spin labels to protein structures to model spin-label conformations.
- Customizable Pipelines: Enables construction of custom analysis and modeling pipelines that use SDSL EPR experimental data.
- Extensibility with Custom Components: Supports addition of user-defined spin labels, scoring functions, and modeling methods.
- Integration Capabilities: Integrates with third-party molecular modeling software via Python interfaces.
Scientific Applications:
- DEER distance prediction: Predicts and aids interpretation of DEER-derived interspin distances by modeling spin-label conformations.
- Protein dynamics and interactions: Investigates protein conformational dynamics and intra- or inter-protein interactions through simulated spin-label behavior.
- Complementing experimental EPR: Generates simulated spin-label data to complement and validate experimental EPR measurements.
Methodology:
Computationally attaches spin-label rotamer ensembles to protein models and evaluates configurations using scoring functions to simulate spin-label interactions and produce data that complement EPR/DEER experiments.
Topics
Details
- License:
- GPL-2.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 4/20/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Backbone modelling
Outputs
Publications
Tessmer MH, Stoll S. chiLife: An open-source Python package for in silico spin labeling and integrative protein modeling. PLOS Computational Biology. 2023;19(3):e1010834. doi:10.1371/journal.pcbi.1010834. PMID:37000838. PMCID:PMC10096462.