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Open AccessJournal ArticleDOI

Role of long- and short-range hydrophobic, hydrophilic and charged residues contact network in protein's structural organization.

Dhriti Sengupta, +1 more
- 21 Jun 2012 - 
- Vol. 13, Iss: 1, pp 142-142
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TLDR
An extensive analysis of protein contact subnetworks based on the London van der Waals interactions of amino acids at different length scales is presented and is able to capture several known properties of protein structure as well as can unravel several new features.
Abstract
The three-dimensional structure of a protein can be described as a graph where nodes represent residues and the strength of non-covalent interactions between them are edges. These protein contact networks can be separated into long and short-range interactions networks depending on the positions of amino acids in primary structure. Long-range interactions play a distinct role in determining the tertiary structure of a protein while short-range interactions could largely contribute to the secondary structure formations. In addition, physico chemical properties and the linear arrangement of amino acids of the primary structure of a protein determines its three dimensional structure. Here, we present an extensive analysis of protein contact subnetworks based on the London van der Waals interactions of amino acids at different length scales. We further subdivided those networks in hydrophobic, hydrophilic and charged residues networks and have tried to correlate their influence in the overall topology and organization of a protein. The largest connected component (LCC) of long (LRN)-, short (SRN)- and all-range (ARN) networks within proteins exhibit a transition behaviour when plotted against different interaction strengths of edges among amino acid nodes. While short-range networks having chain like structures exhibit highly cooperative transition; long- and all-range networks, which are more similar to each other, have non-chain like structures and show less cooperativity. Further, the hydrophobic residues subnetworks in long- and all-range networks have similar transition behaviours with all residues all-range networks, but the hydrophilic and charged residues networks don’t. While the nature of transitions of LCC’s sizes is same in SRNs for thermophiles and mesophiles, there exists a clear difference in LRNs. The presence of larger size of interconnected long-range interactions in thermophiles than mesophiles, even at higher interaction strength between amino acids, give extra stability to the tertiary structure of the thermophiles. All the subnetworks at different length scales (ARNs, LRNs and SRNs) show assortativity mixing property of their participating amino acids. While there exists a significant higher percentage of hydrophobic subclusters over others in ARNs and LRNs; we do not find the assortative mixing behaviour of any the subclusters in SRNs. The clustering coefficient of hydrophobic subclusters in long-range network is the highest among types of subnetworks. There exist highly cliquish hydrophobic nodes followed by charged nodes in LRNs and ARNs; on the other hand, we observe the highest dominance of charged residues cliques in short-range networks. Studies on the perimeter of the cliques also show higher occurrences of hydrophobic and charged residues’ cliques. The simple framework of protein contact networks and their subnetworks based on London van der Waals force is able to capture several known properties of protein structure as well as can unravel several new features. The thermophiles do not only have the higher number of long-range interactions; they also have larger cluster of connected residues at higher interaction strengths among amino acids, than their mesophilic counterparts. It can reestablish the significant role of long-range hydrophobic clusters in protein folding and stabilization; at the same time, it shed light on the higher communication ability of hydrophobic subnetworks over the others. The results give an indication of the controlling role of hydrophobic subclusters in determining protein’s folding rate. The occurrences of higher perimeters of hydrophobic and charged cliques imply the role of charged residues as well as hydrophobic residues in stabilizing the distant part of primary structure of a protein through London van der Waals interaction.

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Physical and molecular bases of protein thermal stability and cold adaptation

TL;DR: A snapshot of the current state of knowledge of the molecular bases of thermal and cold stability and adaptation is presented, whose resolution would enable large-scale rational protein design.
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PyInteraph: A Framework for the Analysis of Interaction Networks in Structural Ensembles of Proteins

TL;DR: PyInteraph is a software suite designed to analyze MD and structural ensembles with attention to binary interactions between residues, such as hydrogen bonds, salt bridges, and hydrophobic interactions and allows the different classes of intra- and intermolecular interactions to be represented, combined or alone, in the form of interaction graphs.
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Biophysical and computational methods to analyze amino acid interaction networks in proteins.

TL;DR: A number of different structural and computational methods have been developed to interrogate amino acid networks, including analyses of X-ray crystallographic data and structures, computer simulations, NMR data, and covariation among protein sequences, and the critical insights that such methods provide into protein function are described.
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Modeling proteins as residue interaction networks.

TL;DR: This review summarizes recent graph theoretical approaches in the field of amino acid residue interaction networks (RIN), [also known as residue interaction graphs (RIG), protein contact networks (PCN or residue contact networks) and the outcomes thereof and explains the strengths of network formalism in unraveling various aspects of the complex phenomena.
References
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TL;DR: Recognising that proteins are networks provides a means of rationalising the robustness in the overall three-dimensional fold of a protein against random mutations and suggests an alternative avenue to investigate the determinants of protein structure, function and folding.
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Comparison between long-range interactions and contact order in determining the folding rate of two-state proteins: application of long-range order to folding rate prediction.

TL;DR: In this article, the authors analyzed the contribution of long-range contacts to determine the folding rate of two-state proteins and found that residues that are close in space and are separated by at least ten to 15 residues in sequence are important determinants of folding rates, suggesting the presence of a folding nucleus at an interval of approximately 25 residues.
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The role of hydrophobic interactions in initiation and propagation of protein folding

TL;DR: Experiments on the folding of mutant apomyoglobins provides corroboration for models based on the hypothesis that folding initiation sites arise from hydrophobic interactions, and provides a putative mechanism for the control of protein-folding initiation and growth by polar/nonpolar sequence propensity alone.
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