TFmodeller: comparative modelling of protein-DNA complexes.

Area of Science:

• Molecular Biology
• Bioinformatics
• Structural Biology

Background:

• Protein-DNA interactions are crucial for cellular processes like transcriptional regulation.
• Many protein-DNA interactions' molecular details are yet to be elucidated.
• The Protein Data Bank (PDB) contains experimentally determined protein-DNA complex structures.

Purpose of the Study:

• To develop a computational tool, TFmodeller, for modeling protein-DNA interfaces.
• To leverage existing structural data for predicting novel protein-DNA interactions.
• To provide researchers with detailed models of putative protein-DNA binding interfaces.

Main Methods:

• TFmodeller utilizes homology to model protein-DNA interfaces.
• It exploits information from the Protein Data Bank (PDB).
• The tool's complex library is updated weekly and available for download.

Main Results:

• TFmodeller generates evolutionary contact matrices.
• It provides schematic representations of putative binding interfaces.
• Atomic coordinates of modeled complexes are emailed to users.

Conclusions:

• TFmodeller facilitates the discovery of molecular details in protein-DNA interactions.
• The tool aids in understanding transcriptional regulation mechanisms.
• It offers a valuable resource for structural biology and bioinformatics research.