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.

PMID: 33822884
PMCID: PMC8545336
Funding: - National Institutes of Health: P41GM103712

Documentation

Links