ProDy
ProDy provides comprehensive analysis of protein structural dynamics by quantifying conformational variation and relating experimental structures to theoretical equilibrium motions.
Key Features:
- Structure-Based Analysis: Quantitative characterization of structural variations within heterogeneous datasets of experimentally resolved structures, including families, subfamilies, mutants, sequence homologues, and complexes with substrates, ligands, or inhibitors.
- Comparative Dynamics: Comparison of observed structural variation with theoretically predicted equilibrium dynamics to assess correspondence between experimental and theoretical motions.
- Enhanced Interfacing and Parsing: Improved interfacing with databases and parsing of additional file formats for handling diverse structural datasets.
- Signature Dynamics (SignDy): Analysis of family-specific signature dynamics to identify conformational patterns characteristic of protein families.
- Cryo-Electron Microscopy Integration (CryoDy): Collective dynamics analysis of supramolecular systems using cryo-EM density maps.
- Essential Site Scanning: Identification of sites that modulate global protein dynamics to pinpoint residues critical for functional motion.
- Visualization Tools: Helper functions for visualizing principal conformational changes across different functional states.
- Extensible API: An application programming interface for extending the software and implementing new computational methods.
Scientific Applications:
- Protein dynamics characterization: Quantifying conformational variability within protein families, mutants, homologues, and complexes.
- Mechanistic interpretation: Relating equilibrium dynamics to observed structural changes to interpret mechanisms of conformational transitions.
- Target site identification: Locating essential sites that influence global dynamics for functional studies and modulation.
- Supramolecular assembly analysis: Studying collective motions of large biomolecular assemblies using cryo-EM density maps.
- Drug design support: Informing inhibitor and modulator design through dynamic structural information.
Methodology:
ProDy applies computational analysis that leverages experimentally resolved structural datasets and theoretical equilibrium dynamics, and supports integration of additional methods and file formats.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/14/2018
- Last Updated:
- 11/24/2024
Operations
Publications
Bakan A, Meireles LM, Bahar I. <i>ProDy</i>: Protein Dynamics Inferred from Theory and Experiments. Bioinformatics. 2011;27(11):1575-1577. doi:10.1093/bioinformatics/btr168. PMID:21471012. PMCID:PMC3102222.
Zhang S, Krieger JM, Zhang Y, Kaya C, Kaynak B, Mikulska-Ruminska K, Doruker P, Li H, Bahar I. <i>ProDy</i> 2.0: increased scale and scope after 10 years of protein dynamics modelling with Python. Bioinformatics. 2021;37(20):3657-3659. doi:10.1093/bioinformatics/btab187. PMID:33822884. PMCID:PMC8545336.