PatchFinder

PatchFinder identifies highly conserved protein surface regions to predict functional sites involved in substrate, ligand, and protein interactions.


Key Features:

  • Detection of Functional Regions: PatchFinder employs an algorithm to detect conserved surface patches on protein structures that are likely involved in interactions with substrates, ligands, or other proteins.
  • Superior Performance: Comparative analysis on a dataset of annotated proteins shows PatchFinder outperforms similar methods in accurately identifying functional surface regions.
  • N-Func Database Integration: PatchFinder collects structures of hypothetical proteins together with their predicted functional regions and compiles this information in the N-Func database.

Scientific Applications:

  • Functional Site Annotation: Predicts and annotates functional regions on proteins of unknown function, including hypothetical proteins.
  • Interface and Nucleotide-Binding Inference: Suggests potential interprotein interfaces and nucleotide-binding sites based on conserved surface patches.
  • Drug Discovery: Supports target identification and binding-site characterization relevant to drug discovery.
  • Enzyme Engineering: Identifies active or substrate-binding regions to guide enzyme engineering.
  • Protein–Protein Interaction Studies: Aids study of protein-protein interactions by highlighting conserved interaction surfaces.

Methodology:

Uses an improved version of the original PatchFinder algorithm to systematically analyze protein structures for conserved surface regions, with predictions validated against a dataset of annotated proteins.

Topics

Collections

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
2/16/2015
Last Updated:
11/25/2024

Operations

Publications

Nimrod G, Schushan M, Steinberg DM, Ben-Tal N. Detection of Functionally Important Regions in “Hypothetical Proteins” of Known Structure. Structure. 2008;16(12):1755-1763. doi:10.1016/j.str.2008.10.017. PMID:19081051.

Documentation