CAMPO

CAMPO analyzes evolutionarily conserved residues (ECRs) within protein families and superfamilies by integrating multiple sequence alignments and three-dimensional protein structures to identify structurally conserved regions (SCRs) and conserved hydrophobic contacts (CHCs).


Key Features:

  • Conserved Residue Identification: CAMPO identifies ECRs that are evolutionarily preserved across protein families and superfamilies by mapping conserved amino-acid sites.
  • 3D Structural Analysis: The tool examines three-dimensional and superposed protein structures to determine structurally conserved regions (SCRs).
  • Multiple Sequence Alignment Integration: CAMPO integrates multiple sequence alignments to facilitate identification of conserved amino-acid sites across homologous sequences.
  • Conserved Hydrophobic Contact Computation: It computes residue-to-residue hydrophobic contacts involving only apolar atoms common to all analyzed 3D structures.
  • Main-chain Conformation Segment Analysis: CAMPO analyzes segments that maintain similar main-chain conformations across different protein structures.
  • Visualization of SCRs, CHCs, and ECRs: The tool visualizes SCRs, CHCs, and ECRs on superposed structures and their multiple alignments for structural interpretation.

Scientific Applications:

  • Functional Insights: Identification of ECRs supports interpretation of functional roles for conserved residues within protein families.
  • Structural Conservation Analysis: CAMPO enables study of how structural features are preserved across evolutionary related proteins to infer stability and structural constraints.
  • Sequence–Structure Mapping: Mapping CHCs and SCRs onto multiple sequence alignments and 3D structures aids interpretation of sequence–structure relationships.

Methodology:

CAMPO analyzes segments with similar main-chain conformations across superposed protein structures, computes residue-to-residue hydrophobic contacts using only apolar atoms common to all analyzed 3D structures, and integrates multiple sequence alignments to map ECRs and identify SCRs and CHCs.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
3/24/2017
Last Updated:
11/25/2024

Operations

Publications

Paiardini A, Bossa F, Pascarella S. CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology. Nucleic Acids Research. 2005;33(Web Server):W50-W55. doi:10.1093/nar/gki416. PMID:15980521. PMCID:PMC1160177.

Documentation