Computational Structural Analysis: Multiple Proteins Bound to DNA

Background With increasing numbers of crystal structures of protein∶DNA and protein∶protein∶DNA complexes publically available, it is now possible to extract sufficient structural, physical-chemical and thermodynamic parameters to make general observations and predictions about their interactions. In particular, the properties of macromolecular assemblies of multiple proteins bound to DNA have not previously been investigated in detail. Methodology/Principal Findings We have performed computational structural analyses on macromolecular assemblies of multiple proteins bound to DNA using a variety of different computational tools: PISA; PROMOTIF; X3DNA; ReadOut; DDNA and DCOMPLEX. Additionally, we have developed and employed an algorithm for approximate collision detection and overlapping volume estimation of two macromolecules. An implementation of this algorithm is available at http://promoterplot.fmi.ch/Collision1/. The results obtained are compared with structural, physical-chemical and thermodynamic parameters from protein∶protein and single protein∶DNA complexes. Many of interface properties of multiple protein∶DNA complexes were found to be very similar to those observed in binary protein∶DNA and protein∶protein complexes. However, the conformational change of the DNA upon protein binding is significantly higher when multiple proteins bind to it than is observed when single proteins bind. The water mediated contacts are less important (found in less quantity) between the interfaces of components in ternary (protein∶protein∶DNA) complexes than in those of binary complexes (protein∶protein and protein∶DNA).The thermodynamic stability of ternary complexes is also higher than in the binary interactions. Greater specificity and affinity of multiple proteins binding to DNA in comparison with binary protein-DNA interactions were observed. However, protein-protein binding affinities are stronger in complexes without the presence of DNA. Conclusions/Significance Our results indicate that the interface properties: interface area; number of interface residues/atoms and hydrogen bonds; and the distribution of interface residues, hydrogen bonds, van der Walls contacts and secondary structure motifs are independent of whether or not a protein is in a binary or ternary complex with DNA. However, changes in the shape of the DNA reduce the off-rate of the proteins which greatly enhances the stability and specificity of ternary complexes compared to binary ones.

[1]  Tarun Jain,et al.  The role of water in protein-DNA recognition. , 2004, Annual review of biophysics and biomolecular structure.

[2]  C. Chothia,et al.  The atomic structure of protein-protein recognition sites. , 1999, Journal of molecular biology.

[3]  E Westhof,et al.  Statistical analysis of atomic contacts at RNA–protein interfaces , 2001, Journal of molecular recognition : JMR.

[4]  David Eisenberg,et al.  The helical hydrophobic moment: a measure of the amphiphilicity of a helix , 1982, Nature.

[5]  J. Janin,et al.  Wet and dry interfaces: the role of solvent in protein-protein and protein-DNA recognition. , 1999, Structure.

[6]  S. Jones,et al.  Analysis of protein-protein interaction sites using surface patches. , 1997, Journal of molecular biology.

[7]  L. Mirny,et al.  Structural analysis of conserved base pairs in protein-DNA complexes. , 2002, Nucleic acids research.

[8]  Jonathan J. Ellis,et al.  Protein–RNA interactions: Structural analysis and functional classes , 2006, Proteins.

[9]  J. Thornton,et al.  An overview of the structures of protein-DNA complexes , 2000, Genome Biology.

[10]  J. Janin,et al.  Dissecting protein–protein recognition sites , 2002, Proteins.

[11]  Guoli Wang,et al.  PISCES: recent improvements to a PDB sequence culling server , 2005, Nucleic Acids Res..

[12]  J M Thornton,et al.  Protein-protein interactions: a review of protein dimer structures. , 1995, Progress in biophysics and molecular biology.

[13]  J. Thornton,et al.  PROMOTIF—A program to identify and analyze structural motifs in proteins , 1996, Protein science : a publication of the Protein Society.

[14]  K Nadassy,et al.  Structural features of protein-nucleic acid recognition sites. , 1999, Biochemistry.

[15]  W. Olson,et al.  3DNA: a software package for the analysis, rebuilding and visualization of three-dimensional nucleic acid structures. , 2003, Nucleic acids research.

[16]  H M Berman,et al.  Protein-DNA interactions: A structural analysis. , 1999, Journal of molecular biology.

[17]  S. Salzberg,et al.  Computational identification of developmental enhancers: conservation and function of transcription factor binding-site clusters in Drosophila melanogaster and Drosophila pseudoobscura , 2004, Genome Biology.

[18]  Mainak Guharoy,et al.  Secondary structure based analysis and classification of biological interfaces: identification of binding motifs in protein-protein interactions , 2007, Bioinform..

[19]  Dinesh Manocha,et al.  OBBTree: a hierarchical structure for rapid interference detection , 1996, SIGGRAPH.

[20]  Leonidas J. Guibas,et al.  BOXTREE: A Hierarchical Representation for Surfaces in 3D , 1996, Comput. Graph. Forum.

[21]  D. Zack,et al.  Computational analysis of tissue-specific combinatorial gene regulation: predicting interaction between transcription factors in human tissues , 2006, Nucleic acids research.

[22]  K. Henrick,et al.  Inference of macromolecular assemblies from crystalline state. , 2007, Journal of molecular biology.

[23]  Hongyi Zhou,et al.  A physical reference state unifies the structure‐derived potential of mean force for protein folding and binding , 2004, Proteins.

[24]  S. Jones,et al.  Protein-RNA interactions: a structural analysis. , 2001, Nucleic acids research.

[25]  D. Lejeune,et al.  Protein–nucleic acid recognition: Statistical analysis of atomic interactions and influence of DNA structure , 2005, Proteins.

[26]  Kim Henrick,et al.  Detection of Protein Assemblies in Crystals , 2005, CompLife.

[27]  J. Williamson,et al.  Cooperativity in macromolecular assembly. , 2008, Nature chemical biology.

[28]  Ingrid Fischer,et al.  Computational life sciences II , 2005 .

[29]  Michael Q. Zhang,et al.  Identifying cooperativity among transcription factors controlling the cell cycle in yeast. , 2003, Nucleic acids research.

[30]  H. Margalit,et al.  Comprehensive analysis of hydrogen bonds in regulatory protein DNA-complexes: in search of common principles. , 1995, Journal of molecular biology.

[31]  Dinesh Manocha,et al.  Efficient and Accurate Interference Detection for Polynomial Deformation and Soft Object Animation , 1996 .

[32]  B. Jayaram,et al.  Do water molecules mediate protein-DNA recognition? , 2001, Journal of molecular biology.

[33]  Shandar Ahmad,et al.  ReadOut: structure-based calculation of direct and indirect readout energies and specificities for protein–DNA recognition , 2006, Nucleic Acids Res..

[34]  G. Rubin,et al.  Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[35]  S. Jones,et al.  Principles of protein-protein interactions. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[36]  A. D. McLachlan,et al.  Rapid comparison of protein structures , 1982 .

[37]  Nicholas M. Luscombe,et al.  Amino acid?base interactions: a three-dimensional analysis of protein?DNA interactions at an atomic level , 2001, Nucleic Acids Res..

[38]  Markus H. Gross,et al.  Optimized Spatial Hashing for Collision Detection of Deformable Objects , 2003, VMV.

[39]  H. Kono,et al.  Protein-DNA recognition patterns and predictions. , 2005, Annual review of biophysics and biomolecular structure.

[40]  Guoli Wang,et al.  PISCES: a protein sequence culling server , 2003, Bioinform..

[41]  Samuel Selvaraj,et al.  Intermolecular and intramolecular readout mechanisms in protein-DNA recognition. , 2004, Journal of molecular biology.

[42]  Philip M. Hubbard,et al.  Approximating polyhedra with spheres for time-critical collision detection , 1996, TOGS.

[43]  Andrew C. R. Martin Databases and ontologies Mapping PDB chains to UniProtKB entries , 2005 .

[44]  Gino van den Bergen Efficient Collision Detection of Complex Deformable Models using AABB Trees , 1997, J. Graphics, GPU, & Game Tools.

[45]  Song Liu,et al.  A knowledge-based energy function for protein-ligand, protein-protein, and protein-DNA complexes. , 2005, Journal of medicinal chemistry.

[46]  Eran Segal,et al.  Systematic functional characterization of cis-regulatory motifs in human core promoters. , 2008, Genome research.

[47]  Greg Turk,et al.  Interactive Collision Detection for Molecular Graphics , 1990 .

[48]  Guoyan Zhao,et al.  Identification of muscle-specific regulatory modules in Caenorhabditis elegans. , 2007, Genome research.

[49]  Doheon Lee,et al.  Specificity of molecular interactions in transient protein–protein interaction interfaces , 2006, Proteins.

[50]  C. Pabo,et al.  Geometric analysis and comparison of protein-DNA interfaces: why is there no simple code for recognition? , 2000, Journal of molecular biology.

[51]  Ling V. Sun,et al.  Hotspots of transcription factor colocalization in the genome of Drosophila melanogaster , 2006, Proceedings of the National Academy of Sciences.

[52]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..