CABS-flex 2.0

CABS-flex 2.0 predicts protein structural fluctuations using classical simulation techniques to characterize conformational dynamics of proteins and multimeric complexes.


Key Features:

  • Scalability to larger proteins and complexes: Supports modeling of significantly larger proteins and multimeric protein complexes for fluctuation analysis.
  • Customizable simulation parameters: Allows definition of distance restraints and adjustment of simulation parameters to tailor simulations.
  • Contact maps integration: Produces contact maps to represent residue–residue interactions and aid interpretation of structural fluctuations.
  • Single-model input and fast execution: Operates from a single protein model as input using a fast simulation approach for predicting fluctuations.
  • Use of classical simulation techniques: Implements classical simulation techniques intended for efficient prediction of protein flexibility.

Scientific Applications:

  • Structure–function studies: Analysis of relationships between protein structural fluctuations and protein function.
  • Dynamics of large systems: Investigation of conformational dynamics in large proteins and multimeric complexes.
  • Functional impact of flexibility: Assessment of how structural fluctuations influence biological processes.
  • Interaction pattern analysis: Use of contact maps to study residue interaction patterns and their relation to dynamics.

Methodology:

Uses classical simulation techniques on a single protein model input, supports distance restraints, and outputs contact maps for analysis.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
7/2/2018
Last Updated:
11/25/2024

Operations

Publications

Kuriata A, Gierut AM, Oleniecki T, Ciemny MP, Kolinski A, Kurcinski M, Kmiecik S. CABS-flex 2.0: a web server for fast simulations of flexibility of protein structures. Nucleic Acids Research. 2018;46(W1):W338-W343. doi:10.1093/nar/gky356. PMID:29762700. PMCID:PMC6031000.

PMID: 29762700
PMCID: PMC6031000
Funding: - National Science Center: MAESTRO2014/14/A/ST6/00088

Documentation

Links