metaDBSite
metaDBSite predicts amino acid residues involved in protein–DNA binding from protein sequence to identify DNA-binding sites relevant to gene regulation.
Key Features:
- Integration of Multiple Predictors: Integrates predictions from DISIS, DNABindR, BindN, BindN-rf, DP-Bind, and DBS-PRED to produce a combined prediction.
- Sequence-Based Prediction: Relies exclusively on protein sequence information for residue-level DNA-binding predictions.
- Benchmarking with Gold-Standard Dataset: Evaluates performance against a gold-standard dataset of DNA-binding proteins derived from the Protein Data Bank (PDB).
- Outperformance of Individual Methods: Comparative analyses indicate metaDBSite outperforms each of the individual integrated prediction methods.
Scientific Applications:
- Protein–DNA interaction mapping: Identifies DNA-binding residues to map protein–DNA interfaces at residue resolution.
- Gene regulation studies: Provides residue-level information relevant to DNA replication, transcription, and repair mechanisms.
- Disease and therapeutic research: Supports investigation of genetic diseases and the development of therapeutic strategies by locating DNA-binding sites.
Methodology:
Aggregates sequence-based predictions from DISIS, DNABindR, BindN, BindN-rf, DP-Bind, and DBS-PRED, synthesizes a consensus output, and validates the consensus against a PDB-derived gold-standard dataset of DNA-binding proteins.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Nucleic acid feature detection
Inputs
Outputs
Protein sequence analysis
Inputs
Outputs
Publications
Si J, Zhang Z, Lin B, Schroeder M, Huang B. MetaDBSite: a meta approach to improve protein DNA-binding sites prediction. BMC Systems Biology. 2011;5(S1). doi:10.1186/1752-0509-5-s1-s7. PMID:21689482. PMCID:PMC3121123.