BindCompare: a novel integrated protein-nucleic acid binding analysis platform

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Advanced genomic technologies yield vast protein-nucleic acid binding data, crucial for understanding gene regulatory networks (GRNs).
• Transcription factors (TFs) and RNA binding proteins (RBPs) are key regulators of gene expression, driving GRN function.
• The combinatorial mechanisms of TF-RBP interactions in gene regulation remain largely uncharacterized.

Purpose of the Study:

• To develop a computational tool for comparing and contrasting nucleic acid binding targets of multiple TFs and RBPs.
• To identify potential combinatorial relationships between TFs and RBPs.
• To generate testable hypotheses for gene regulation by co-binding factors.

Main Methods:

• Introduction of BindCompare, a user-friendly, locally runnable open-source Python package.
• BindCompare analyzes protein-nucleic acid binding data from any organism with annotated genome information.
• The tool outputs detailed genomic locations and gene information for common and unique targets.

Main Results:

• BindCompare successfully identifies TFs and RBPs that co-bind to the same DNA and/or RNA loci.
• The tool facilitates the prediction of new combinatorial regulatory relationships.
• Generated data supports the formulation of testable hypotheses regarding combinatorial gene regulation.

Conclusions:

• BindCompare is a novel tool for uncovering combinatorial TF-RBP interactions.
• It aids in dissecting complex gene regulatory mechanisms.
• The tool advances the study of GRNs by providing insights into co-binding events and their regulatory roles.