RRDistMaps

RRDistMaps computes and visualizes generalized protein distance maps within UCSF Chimera to identify and compare intramolecular contacts and conformational changes.


Key Features:

  • Generalized Distance Maps: Represents contacts as continuous distance ranges instead of binary (yes/no) contact maps to capture graded interaction patterns.
  • Visualization of Conformational Changes: Enables examination of local changes at binding sites and global alterations such as hinge motions by comparing distance patterns between unbound and bound states.
  • Residue-Pair Selection and Mapping: Allows selection and detailed examination of specific residue pairs and maps distance information to structures in Chimera.
  • Long-Range Motion Identification: Detects long-range residue motions to reveal dynamic behaviors and intramolecular coupling.
  • Sequence Alignment Integration: Aligns sequences to facilitate simultaneous comparison of distance maps across different proteins or states.

Scientific Applications:

  • Ligand Binding Analysis: Comparing distance maps between unbound and bound states to identify conformational changes associated with ligand binding.
  • Allosteric Regulation Studies: Identifying distance changes and long-range couplings that underlie allosteric regulation.
  • Protein Folding/Unfolding Investigations: Monitoring pairwise distance variations relevant to folding and unfolding transitions.
  • Intramolecular Contact Network Mapping: Elucidating contact patterns and dynamic interaction networks within proteins.

Methodology:

RRDistMaps computes generalized contact maps by analyzing pairwise variations in intramolecular contacts across different protein states and is implemented as part of UCSF Chimera.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Added:
8/11/2019
Last Updated:
11/24/2024

Operations

Publications

Chen JE, Huang CC, Ferrin TE. RRDistMaps: a UCSF Chimera tool for viewing and comparing protein distance maps. Bioinformatics. 2014;31(9):1484-1486. doi:10.1093/bioinformatics/btu841. PMID:25540183. PMCID:PMC4410660.

Documentation

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