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Structural analysis of conserved base pairs in protein-DNA complexes.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2002 Apr 01; Vol. 30 (7), pp. 1704-11. - Publication Year :
- 2002
-
Abstract
- Understanding of protein-DNA interactions is crucial for prediction of DNA-binding specificity of transcription factors and design of novel DNA-binding proteins. In this paper we develop a novel approach to analysis of protein-DNA interactions. We bring together two sources of information: (i) structures of protein-DNA complexes (PDB/NDB database) and (ii) experimentally obtained sites recognized by DNA-binding proteins. Sites are used to compute conservation (information content) of each base pair, which indicates relative importance of the base pair in specific recognition. The main result of this study is that conservation of base pairs in a site exhibits significant correlation with the number of contacts the base pairs have with the protein. In particular, base pairs that have more contacts with the protein are more conserved in evolution. As natural as it is, this result has never been reported before. We also observe that for most of the studied proteins, hydrogen bonds and hydrophobic interactions alone cannot explain the pattern of evolutionary conservation in the binding site suggesting cumulative contribution of different types of interactions to specific recognition. Implications for prediction of the DNA-binding specificity are discussed.
- Subjects :
- Bacterial Proteins genetics
Bacterial Proteins metabolism
Binding Sites genetics
Carrier Proteins
Cyclic AMP Receptor Protein genetics
Cyclic AMP Receptor Protein metabolism
DNA-Binding Proteins metabolism
Databases, Protein
Escherichia coli genetics
Evolution, Molecular
Integration Host Factors
Protein Binding
Repressor Proteins genetics
Repressor Proteins metabolism
Statistics as Topic
Base Pairing genetics
DNA metabolism
DNA-Binding Proteins genetics
Escherichia coli Proteins
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 30
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 11917033
- Full Text :
- https://doi.org/10.1093/nar/30.7.1704