MutDB
MutDB annotates non-synonymous single nucleotide polymorphisms (SNPs) and amino acid substitutions with protein structural information to assess their potential impact on human phenotypes and diseases.
Key Features:
- Integration with Structural Data: Annotates SNPs and amino acid substitutions with available protein structural information to map substitutions onto three-dimensional structures.
- Database Integration: Integrates variant and protein records from dbSNP and Swiss-Prot and incorporates disease-associated mutations and SNPs from the UCSC Annotated Genome and the human RefSeq gene set (~8,000 entries).
- Visualization Plugins: Provides plugins compatible with UCSF Chimera and PyMOL to visualize and model amino acid substitutions on protein structures.
- Web Services Interface: Exposes a web services interface for programmatic access to annotations and datasets.
- Functional Impact Prediction: Includes comparative genomic data and multiple sequence alignment–based conservation analyses with mutation maps at gene and protein levels to rank predicted functional consequences.
Scientific Applications:
- Disease Variant Interpretation: Assessing the molecular basis of diseases by providing structural context and predicted functional impacts of SNPs and mutations.
- Variant Prioritization: Identifying polymorphisms likely to alter protein function through conservation-based ranking using multiple sequence alignments.
- Genotype–Phenotype Analysis: Supporting studies of genotype-phenotype relationships and prioritization of variants for downstream therapeutic investigation.
Methodology:
Genetic variations from dbSNP, Swiss-Prot, the UCSC Annotated Genome, and RefSeq were annotated with protein structural data and conservation from multiple sequence alignments and integrated into visualization plugins and web services.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 2/10/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Dantzer J, et al. MutDB services: interactive structural analysis of mutation data. Nucleic Acids Res. 2005; 33:W311-4. doi: 10.1093/nar/gki404
Mooney SD and Altman RB. MutDB: annotating human variation with functionally relevant data. Bioinformatics. 2003; 19:1858-60. doi: 10.1093/bioinformatics/btg241