CAVER

CAVER identifies and analyzes tunnels and channels in static and dynamic protein structures to characterize transport pathways for small molecules, ions, and water solvent.


Key Features:

  • Tunnel and channel identification: Detects and analyzes tunnels and channels in static and dynamic protein structures.
  • Ensemble analysis (CAVER 3.0): Performs automatic analysis of transport pathways across large ensembles of protein conformations (CAVER 3.0).
  • Pathway calculation and clustering: Calculates transport pathways and applies clustering algorithms to group similar pathways.
  • Geometric, physico-chemical and dynamic characterization: Computes pathway geometry, physico-chemical properties, and dynamic behavior.
  • MD trajectory input and time-resolved statistics: Accepts molecular dynamics simulation trajectories and provides time-evolution characteristics and summary statistics for individual pathways.

Scientific Applications:

  • Structure–function analysis: Maps transport pathways to support analysis of structure–function relationships in proteins.
  • Inhibitor design: Informs design of inhibitors by revealing access routes and gating mechanisms.
  • Biocatalyst engineering: Supports engineering of improved biocatalysts through identification and assessment of transport tunnels.
  • Molecular transport and recognition studies: Characterizes access paths relevant to molecular transport, molecular recognition, and enzymatic catalysis.
  • Tunnel gating investigation: Enables investigation of tunnel gating mechanisms and highlights the importance of molecular dynamics in estimating pathway characteristics.
  • Case study — haloalkane dehalogenase DhaA: Identified and assessed all previously published tunnels in DhaA, including those closed in crystal structures.

Methodology:

Performs automatic analysis of transport pathways in large ensembles of protein conformations; calculates and clusters pathways using its algorithms; accepts molecular dynamics simulation trajectories and computes characteristics and summary statistics describing the time evolution of individual pathways.

Topics

Collections

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
11/7/2015
Last Updated:
11/24/2024

Operations

Publications

Chovancova E, Pavelka A, Benes P, Strnad O, Brezovsky J, Kozlikova B, Gora A, Sustr V, Klvana M, Medek P, Biedermannova L, Sochor J, Damborsky J. CAVER 3.0: A Tool for the Analysis of Transport Pathways in Dynamic Protein Structures. PLoS Computational Biology. 2012;8(10):e1002708. doi:10.1371/journal.pcbi.1002708. PMID:23093919. PMCID:PMC3475669.

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