Residue interaction network analysis of Dronpa and a DNA clamp.

Topology is an essential aspect of protein structure. The network paradigm is increasingly used to describe the topology and dynamics of proteins. In this paper, the effect of topology on residue interaction network was investigated for two different proteins: Dronpa and a DNA clamp, which have cylindrical and toroidal topologies, respectively. Network metrics including characteristic path lengths, clustering coefficients, and diameters were calculated to investigate their global topology parameters such as small-world properties and packing density. Measures of centrality including betweenness, closeness, and residue centrality were computed to predict residues critical to function. Additionally, the detailed topology of the hydrophobic pocket in Dronpa, and communication pathways across the interface in the DNA clamp, were investigated using the network. The results are presented and discussed with regard to existing residue interaction network properties of globular proteins and elastic network models on Dronpa and the DNA clamp. The topological principle underlying residue interaction networks provided insight into the architectural organization of proteins.

[1]  Victoria A. Higman,et al.  Uncovering network systems within protein structures. , 2003, Journal of molecular biology.

[2]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[3]  P Fariselli,et al.  The effect of backbone on the small-world properties of protein contact maps , 2008, Physical biology.

[4]  Nadezhda T. Doncheva,et al.  Analyzing and visualizing residue networks of protein structures. , 2011, Trends in biochemical sciences.

[5]  Csaba Böde,et al.  Network analysis of protein dynamics , 2007, FEBS letters.

[6]  S. Vishveshwara,et al.  Intra and inter-molecular communications through protein structure network. , 2009, Current protein & peptide science.

[7]  Ozlem Keskin,et al.  HotSprint: database of computational hot spots in protein interfaces , 2007, Nucleic Acids Res..

[8]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[9]  Ernesto Estrada Universality in protein residue networks. , 2010, Biophysical journal.

[10]  Albert-László Barabási,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[11]  Masaru Tomita,et al.  Proteins as networks: usefulness of graph theory in protein science. , 2008, Current protein & peptide science.

[12]  A. Atilgan,et al.  Small-world communication of residues and significance for protein dynamics. , 2003, Biophysical journal.

[13]  S. Vishveshwara,et al.  A study of communication pathways in methionyl- tRNA synthetase by molecular dynamics simulations and structure network analysis , 2007, Proceedings of the National Academy of Sciences.

[14]  J. Rossjohn,et al.  The 1.7 A crystal structure of Dronpa: a photoswitchable green fluorescent protein. , 2006, Journal of molecular biology.

[15]  Bairong Shen,et al.  SVR_CAF: An integrated score function for detecting native protein structures among decoys , 2014, Proteins.

[16]  Saraswathi Vishveshwara,et al.  Oligomeric protein structure networks: insights into protein-protein interactions , 2005, BMC Bioinformatics.

[17]  I. A. Emerson,et al.  Network analysis of transmembrane protein structures , 2012 .

[18]  Bairong Shen,et al.  Amino acid network for the discrimination of native protein structures from decoys. , 2014, Current protein & peptide science.

[19]  Sudip Kundu,et al.  Amino acid network within protein , 2005 .

[20]  Menglong Li,et al.  Investigation of the proteins folding rates and their properties of amino acid networks , 2010 .

[21]  Neil R. Taylor,et al.  Small world network strategies for studying protein structures and binding , 2013, Computational and structural biotechnology journal.

[22]  A. Giuliani,et al.  Protein contact networks: an emerging paradigm in chemistry. , 2013, Chemical reviews.

[23]  Nadezhda T. Doncheva,et al.  Topological analysis and interactive visualization of biological networks and protein structures , 2012, Nature Protocols.

[24]  Zaida Luthey-Schulten,et al.  Exploring residue component contributions to dynamical network models of allostery. , 2012, Journal of chemical theory and computation.

[25]  Michael Lappe,et al.  CMView: Interactive contact map visualization and analysis , 2011, Bioinform..

[26]  Ganesh Bagler,et al.  Assortative mixing in Protein Contact Networks and protein folding kinetics , 2007, Bioinform..

[27]  Francesca Fanelli,et al.  A Mixed Protein Structure Network and Elastic Network Model Approach to Predict the Structural Communication in Biomolecular Systems: The PDZ2 Domain from Tyrosine Phosphatase 1E As a Case Study. , 2013, Journal of chemical theory and computation.

[28]  Ganesh Bagler,et al.  Network properties of protein structures , 2004, q-bio/0408009.

[29]  Daniele Santoni,et al.  Structural and Functional Analysis of Hemoglobin and Serum Albumin Through Protein Long-Range Interaction Networks , 2012 .

[30]  A. del Sol,et al.  Small‐world network approach to identify key residues in protein–protein interaction , 2004, Proteins.

[31]  Csaba Böde,et al.  Perturbation waves in proteins and protein networks: applications of percolation and game theories in signaling and drug design. , 2008, Current protein & peptide science.

[32]  Gil Amitai,et al.  Network analysis of protein structures identifies functional residues. , 2004, Journal of molecular biology.

[33]  Shan Chang,et al.  Scoring Function Based on Weighted Residue Network , 2011, International journal of molecular sciences.

[34]  S. Durga Bhavani,et al.  Mining of protein contact maps for protein fold prediction , 2011, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

[35]  Sudip Kundu,et al.  Weighted and unweighted network of amino acids within protein , 2005, q-bio/0509025.

[36]  Somdatta Sinha,et al.  Analysis of protein folds using protein contact networks , 2008 .

[37]  Fidel Ramírez,et al.  Computing topological parameters of biological networks , 2008, Bioinform..

[38]  S. Vishveshwara,et al.  Identification of side-chain clusters in protein structures by a graph spectral method. , 1999, Journal of molecular biology.

[39]  Bairong Shen,et al.  The topology and dynamics of protein complexes: insights from intra- molecular network theory. , 2013, Current protein & peptide science.

[40]  S. Vishveshwara,et al.  A network representation of protein structures: implications for protein stability. , 2005, Biophysical journal.

[41]  John Kuriyan,et al.  Three-dimensional structure of the β subunit of E. coli DNA polymerase III holoenzyme: A sliding DNA clamp , 1992, Cell.

[42]  Silvio C. E. Tosatto,et al.  RING: networking interacting residues, evolutionary information and energetics in protein structures , 2011, Bioinform..

[43]  K. Gothandam,et al.  Residue centrality in alpha helical polytopic transmembrane protein structures. , 2012, Journal of theoretical biology.

[44]  L. Greene Protein structure networks. , 2012, Briefings in functional genomics.

[45]  Danail Bonchev,et al.  From Molecular to Biological Structure and Back , 2007, J. Chem. Inf. Model..

[46]  A. Atilgan,et al.  Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential. , 1997, Folding & design.

[47]  Weitao Sun,et al.  From Isotropic to Anisotropic Side Chain Representations: Comparison of Three Models for Residue Contact Estimation , 2011, PloS one.

[48]  Tirion,et al.  Large Amplitude Elastic Motions in Proteins from a Single-Parameter, Atomic Analysis. , 1996, Physical review letters.

[49]  M Karplus,et al.  Small-world view of the amino acids that play a key role in protein folding. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[50]  Samuel L. C. Moors,et al.  The harmonic analysis of cylindrically symmetric proteins: a comparison of Dronpa and a DNA sliding clamp. , 2012, Journal of molecular graphics & modelling.

[51]  B. Erman A fast approximate method of identifying paths of allosteric communication in proteins , 2013, Proteins.

[52]  X. Zou,et al.  Cutoff variation induces different topological properties: a new discovery of amino acid network within protein. , 2009, Journal of theoretical biology.

[53]  R. Nussinov,et al.  Residues crucial for maintaining short paths in network communication mediate signaling in proteins , 2006, Molecular systems biology.