Literature DB >> 10966773

Geometric analysis and comparison of protein-DNA interfaces: why is there no simple code for recognition?

C O Pabo1, L Nekludova.   

Abstract

Structural studies of protein-DNA complexes have shown that there are many distinct families of DNA-binding proteins, and have shown that there is no simple "code" describing side-chain/base interactions. However, systematic analysis and comparison of protein-DNA complexes has been complicated by the diversity of observed contacts, the sheer number of complexes currently available and the absence of any consistent method of comparison that retains detailed structural information about the protein-DNA interface. To address these problems, we have developed geometric methods for characterizing the local structural environment in which particular side-chain/base interactions are observed. In particular, we develop methods for analyzing and comparing spatial relationships at the protein-DNA interface. Our method involves attaching local coordinate systems to the DNA bases and to the C(alpha) atoms of the peptide backbone (these are relatively rigid structural units). We use these tools to consider how the position and orientation of the polypeptide backbone (with respect to the DNA) helps to determine what contacts are possible at any given position in a protein-DNA complex. Here, we focus on base contacts that are made in the major groove, and we use spatial relationships in analyzing: (i) the observed patterns of side-chain/base interactions; (ii) observed helix docking orientations; (iii) family/subfamily relationships among DNA-binding proteins; and (iv) broader questions about evolution, altered specificity mutants and the limits for the design of new DNA-binding proteins. Our analysis, which highlights differences in spatial relationships in different complexes and at different positions in a complex, helps explain why there is no simple, general code for protein-DNA recognition. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10966773     DOI: 10.1006/jmbi.2000.3918

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  69 in total

1.  Structural analysis of conserved base pairs in protein-DNA complexes.

Authors:  Leonid A Mirny; Mikhail S Gelfand
Journal:  Nucleic Acids Res       Date:  2002-04-01       Impact factor: 16.971

2.  Discovering common stem-loop motifs in unaligned RNA sequences.

Authors:  J Gorodkin; S L Stricklin; G D Stormo
Journal:  Nucleic Acids Res       Date:  2001-05-15       Impact factor: 16.971

3.  Plasticity in protein-DNA recognition: lac repressor interacts with its natural operator 01 through alternative conformations of its DNA-binding domain.

Authors:  Charalampos G Kalodimos; Alexandre M J J Bonvin; Roberto K Salinas; Rainer Wechselberger; Rolf Boelens; Robert Kaptein
Journal:  EMBO J       Date:  2002-06-17       Impact factor: 11.598

4.  AANT: the Amino Acid-Nucleotide Interaction Database.

Authors:  Michael M Hoffman; Maksim A Khrapov; J Colin Cox; Jianchao Yao; Lingnan Tong; Andrew D Ellington
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  DNA binding and cleavage by the periplasmic nuclease Vvn: a novel structure with a known active site.

Authors:  Chia-Lung Li; Lien-I Hor; Zee-Fen Chang; Li-Chu Tsai; Wei-Zen Yang; Hanna S Yuan
Journal:  EMBO J       Date:  2003-08-01       Impact factor: 11.598

6.  3DNA: a software package for the analysis, rebuilding and visualization of three-dimensional nucleic acid structures.

Authors:  Xiang-Jun Lu; Wilma K Olson
Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

7.  A phage display selection of engrailed homeodomain mutants and the importance of residue Q50.

Authors:  Matthew D Simon; Ken Sato; Gregory A Weiss; Kevan M Shokat
Journal:  Nucleic Acids Res       Date:  2004-07-09       Impact factor: 16.971

8.  Interaction of DNA with clusters of amino acids in proteins.

Authors:  R Sathyapriya; Saraswathi Vishveshwara
Journal:  Nucleic Acids Res       Date:  2004-08-09       Impact factor: 16.971

9.  A new hydrogen-bonding potential for the design of protein-RNA interactions predicts specific contacts and discriminates decoys.

Authors:  Yu Chen; Tanja Kortemme; Tim Robertson; David Baker; Gabriele Varani
Journal:  Nucleic Acids Res       Date:  2004-09-30       Impact factor: 16.971

10.  Identification of DNA-binding proteins using structural, electrostatic and evolutionary features.

Authors:  Guy Nimrod; András Szilágyi; Christina Leslie; Nir Ben-Tal
Journal:  J Mol Biol       Date:  2009-02-20       Impact factor: 5.469

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