Motivation: Protein-nucleic acid interactions are fundamental to the regula
tion of gene expression. In order to elucidate the molecular mechanism of p
rotein-nucleic acid recognition and analyze the gene regulation network, no
t only structural data but also quantitative binding data are necessary. Al
though there are structural databases for proteins and nucleic acids, there
exists no database for their experimental binding data. Thus, we have deve
loped a Thermodynamic Database for Protein-Nucleic Acid Interactions (ProNI
T).
Results: We have collected experimentally observed binding data from the li
terature. ProNIT contains several important thermodynamic data for protein-
nucleic acid binding, such as dissociation constant (K-d), association cons
tant (K-a), Gibbs free energy change (DeltaG), enthalpy change (DeltaH), he
at capacity change (DeltaC(p)), experimental conditions, structural informa
tion of proteins, nucleic acids and the complex, and literature information
. These data are integrated into a relational database system together with
structural and functional information to provide flexible searching facili
ties by using combinations of various terms and parameters. A www interface
allows users to search for data based on various conditions, with differen
t display and sorting options, and to visualize molecular structures and th
eir interactions.