An affinity-structure database of helix-turn-helix: DNA complexes with a universal coordinate system

Area of Science:

• Molecular biology
• Structural biology
• Bioinformatics

Background:

• Protein-DNA interactions are crucial for fundamental cellular processes like transcription and replication.
• Existing databases often separate structural and biochemical data, hindering integrated analysis.
• The growing volume of data necessitates unified resources for computational modeling.

Purpose of the Study:

• To develop an integrated database linking quantitative DNA binding affinities with protein-DNA crystal structures.
• To establish a direct correspondence between structural and affinity data at the base-pair level.
• To facilitate computational analysis and algorithm development for protein-DNA interactions.

Main Methods:

• Developed an integrated affinity-structure database for helix-turn-helix proteins.
• Mapped quantitative DNA binding affinities onto crystal structures.
• Created a novel alignment algorithm for structural comparison and a unified coordinate system.
• Computed statistics of atomic interactions at protein-DNA interfaces.

Main Results:

• The database integrates protein-DNA structures, binding affinities (position weight matrices), and raw experimental data.
• A unified coordinate system allows comparison of physico-chemical environments at interaction interfaces.
• Enables analysis of atomic interactions within protein-DNA complexes.

Conclusions:

• The integrated database facilitates analysis of protein-DNA interactions.
• Supports the development of computational methods leveraging combined structural and biochemical data.
• Provides interactive and downloadable access for research and analysis.