Scope3D
Scope3D annotates protein structures with sequence conservation by analyzing datasets of protein sequence variants and maps single nucleotide polymorphisms (SNPs) onto structural models to relate genomic variation to protein function.
Key Features:
- Sequence conservation annotation: Automates identification and mapping of conserved residues on protein structures using input protein sequence variants.
- Variant mapping: Maps protein sequence variants onto three-dimensional structures to localize variant positions relative to conserved and functional regions.
- DNA module for SNP analysis: Integrates single nucleotide polymorphism (SNP) data to correlate nucleotide-level variation with structural context.
- Genomics–structural integration: Links genomic variation data with structural information to assess potential impacts on protein function and stability.
Scientific Applications:
- Evolutionary biology: Identification of conserved residues and regions to infer evolutionary constraints on protein structure.
- Functional genomics: Mapping variants and SNPs to structures to investigate genotype–structure–function relationships.
- Drug discovery: Highlighting conserved and variant-impacted structural sites to inform target selection and structure-based design.
- Disease mechanism investigation: Correlating SNPs and sequence variants with structural changes to explore molecular bases of disease.
Methodology:
Analyzes input protein sequence variants to determine conserved regions within protein structures; the DNA module extends this analysis to include SNPs and correlates those genetic variations with structural data.
Topics
Collections
Details
- License:
- Other
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Programming Languages:
- Python, PHP
- Added:
- 8/11/2020
- Last Updated:
- 9/8/2020
Operations
Publications
Kreft L, Turan D, Hulstaert N, Botzki A, Martens L, Vandermarliere E. Scop3D: Online Visualization of Mutation Rates on Protein Structure. Journal of Proteome Research. 2018;18(2):765-769. doi:10.1021/acs.jproteome.8b00681. PMID:30540477.
PMID: 30540477