VASE
VASE visualizes HSSP multiple sequence alignments and entropy/variability data on Protein Data Bank (PDB) 3D protein structures to support analysis of conserved and variable sites.
Key Features:
- Protein structure retrieval: Accepts Protein Data Bank (PDB) identifiers to retrieve 3D structures and associate structural coordinates with alignment positions.
- HSSP multiple sequence alignments: Uses HSSP (Homology-derived Secondary Structure of Proteins) multiple sequence alignments linked to target structures.
- Entropy/variability metrics: Presents entropy and variability information for aligned sequences to indicate sequence conservation and diversity across homologs.
- Secondary-structure and conservation mapping: Maps secondary-structure elements and conserved regions onto 3D models to correlate structural context with alignment-derived signals.
Scientific Applications:
- Comparative and evolutionary analysis: Enables comparative analyses of protein families to interpret conserved and variable sites in an evolutionary context.
- Functional and stability inference: Supports interpretation of the functional implications of conserved residues and variable sites for protein stability and function.
- Structural genomics: Facilitates structural genomics studies by linking sequence conservation patterns to solved PDB structures.
- Structure-guided drug design: Provides structural context for conserved and variable regions to inform drug design.
Methodology:
VASE retrieves HSSP alignments and structural information from the Protein Data Bank (PDB) and processes these data to generate visual representations that highlight secondary structures, conserved regions, and entropy/variability across homologous sequences.
Topics
Details
- Programming Languages:
- JavaScript
- Added:
- 1/14/2020
- Last Updated:
- 1/16/2021
Operations
Publications
Lange J, Baakman C, Pistorius A, Krieger E, Hooft R, Joosten RP, Vriend G. Facilities that make the PDB data collection more powerful. Protein Science. 2019;29(1):330-344. doi:10.1002/pro.3788. PMID:31724231. PMCID:PMC6933850.
Links
Repository
https://github.com/cmbi/vase