期刊
JOURNAL OF MOLECULAR BIOLOGY
卷 345, 期 5, 页码 1027-1045出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2004.11.010
关键词
protein-DNA; transcription; interface; geometry; residue
资金
- NIGMS NIH HHS [GM30518] Funding Source: Medline
A new method is introduced to structurally align interfaces observed in protein-DNA complexes. The method is based on a procedure that describes the interfacial geometry), in terms of the spatial relationships between individual amino acid-nucleotide pairs. An amino acid-amino acid similarity matrix, S, is defined that provides a quantitative measure of the geometric relationships of amino acids in different interfaces and the entire stretch of local DNA within some distance of each amino acid. S is used as a substitution matrix in a dynamic programming algorithm that aligns the interfacial an-Lino acids of the two complexes. The quality of the alignment is determined by an interface alignment score, IAS, that provides a quantitative measure of the similarity in the docking geometry between two protein-DNA complexes. We have clustered a large set of protein-DNA complexes based on their IAS values. In general, proteins within a single family form identifiable clusters. Subgroup clustering is often observed within families offering a fine-grained description of clocking geometries. Although proteins with similar folds tend to dock in similar ways, important differences are observed even for structural motifs that almost perfectly align-Relationships are observed between the interfaces formed in cognate and noncognate complexes involving the same proteins indicating a strong driving force to maintain certain contacts, even if this requires a distortion of the DNA. There are cases where inter-family similarities are greater than intra-family similarities. Our method offers the possibility of comparing different protein-DNA interfaces in a detailed, objective and quantitative fashion. This offers the possibility of new approaches to the description of the determinants of molecular recognition and to the prediction of protein and DNA sequence combinations that are optimal for binding (C) 2004 Elsevier Ltd. All right reserved.
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