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

Protein sequence analysis

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.

Documentation

Links