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Residues crucial for maintaining short paths in network communication mediate signaling in proteins.

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TLDR
It is proposed that centrally conserved residues, whose removal increases the characteristic path length in protein networks, may relate to the system fragility.
Abstract
Here, we represent protein structures as residue interacting networks, which are assumed to involve a permanent flow of information between amino acids. By removal of nodes from the protein network, we identify fold centrally conserved residues, which are crucial for sustaining the shortest pathways and thus play key roles in long-range interactions. Analysis of seven protein families (myoglobins, G-protein-coupled receptors, the trypsin class of serine proteases, hemoglobins, oligosaccharide phosphorylases, nuclear receptor ligand-binding domains and retroviral proteases) confirms that experimentally many of these residues are important for allosteric communication. The agreement between the centrally conserved residues, which are key in preserving short path lengths, and residues experimentally suggested to mediate signaling further illustrates that topology plays an important role in network communication. Protein folds have evolved under constraints imposed by function. To maintain function, protein structures need to be robust to mutational events. On the other hand, robustness is accompanied by an extreme sensitivity at some crucial sites. Thus, here we propose that centrally conserved residues, whose removal increases the characteristic path length in protein networks, may relate to the system fragility.

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Journal ArticleDOI

Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review

TL;DR: It is shown how network techniques can help in the identification of single-target, edgetic, multi-target and allo-network drug target candidates and an optimized protocol of network-aided drug development is suggested, and a list of systems-level hallmarks of drug quality is provided.
Journal ArticleDOI

Dynamical networks in tRNA:protein complexes

TL;DR: A dynamic contact map defines the edges connecting nodes (amino acids and nucleotides) in the physical network whose overall topology is presented as a network of communities, local substructures that are highly intraconnected, but loosely interconnected.
Journal ArticleDOI

Allostery: absence of a change in shape does not imply that allostery is not at play.

TL;DR: Allostery is essential for controlled catalysis, signal transmission, receptor trafficking, turning genes on and off, and apoptosis, and current data indicate that while side chains can reorient and rewire, allostery may not even involve a change of (backbone) shape.
Journal ArticleDOI

The RING 2.0 web server for high quality residue interaction networks.

TL;DR: RING 2.0 is a new version of the RING software for the identification of covalent and non-covalent bonds in protein structures, including π–π stacking and π-cation interactions, which is extremely fast and generates both intra and inter-chain interactions.
Journal ArticleDOI

The origin of allosteric functional modulation: multiple pre-existing pathways.

TL;DR: It is argued that in all proteins, allosteric signals transmit through multiple, pre-existing pathways; which pathways dominate depend on protein topologies, specific binding events, covalent modifications, and cellular (environmental) conditions.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Lethality and centrality in protein networks

TL;DR: It is demonstrated that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.
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Hierarchical Organization of Modularity in Metabolic Networks

TL;DR: It is shown that the metabolic networks of 43 distinct organisms are organized into many small, highly connected topologic modules that combine in a hierarchical manner into larger, less cohesive units, with their number and degree of clustering following a power law.
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Evolutionarily conserved pathways of energetic connectivity in protein families.

TL;DR: Mutational studies confirm that the statistical energy function is a good indicator of thermodynamic coupling in proteins, demonstrating that sets of interacting residues form connected pathways through the protein fold that may be the basis for efficient energy conduction within proteins.
Journal ArticleDOI

ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information

TL;DR: A new web server, ConSurf, is presented, which automates algorithms for the identification of functionally important regions in proteins of known three dimensional structure by estimating the degree of conservation of the amino-acid sites among their close sequence homologues.
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