4.6 Article

ProDFace: A web-tool for the dissection of protein-DNA interfaces

Journal

FRONTIERS IN MOLECULAR BIOSCIENCES
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2022.978310

Keywords

protein-DNA interactions; sequence conservation; interface core and rim; hydrogen bond; docking; Protein-DNA complexes

Funding

  1. Department of Biotechnology, Govt. India

Ask authors/readers for more resources

This article introduces a web tool called ProDFace, which characterizes the binding region of a protein-DNA complex. The tool uses multiple parameters, including amino acid propensity, hydrogen bond donor capacity, sequence conservation, and geometry to predict and analyze protein-DNA binding sites.
Protein-DNA interactions play a crucial role in gene expression and regulation. Identifying the DNA binding surface of proteins has long been a challenge-in comparison to protein-protein interactions, limited progress has been made in the development of efficient DNA binding site prediction and protein-DNA docking methods. Here we present ProDFace, a web tool that characterizes the binding region of a protein-DNA complex based on amino acid propensity, hydrogen bond (HB) donor capacity (number of solvent accessible HB donor groups), sequence conservation at the interface core and rim region, and geometry. The program takes as input the structure of a protein-DNA complex in PDB (Protein Data Bank) format, and outputs various physicochemical and geometric parameters of the interface, as well as conservation of the interface residues in the protein component. Values are provided for the whole interface, and after dissecting it into core and rim regions. Details of water mediated HBs between protein and DNA, potential HB donor groups present at the binding surface of protein, and conserved interface residues are also provided as downloadable text files. These parameters can be useful in evaluating and validating protein-DNA docking solutions, structures derived from simulation as well as solutions from the available prediction tools, and facilitate the development of more efficient prediction methods.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available