scholarly journals gRINN: a tool for calculation of residue interaction energies and protein energy network analysis of molecular dynamics simulations

2018 ◽  
Vol 46 (W1) ◽  
pp. W554-W562 ◽  
Author(s):  
Onur Serçinoğlu ◽  
Pemra Ozbek
Keyword(s):  
Molecular Dynamics ◽  
Network Analysis ◽  
Molecular Dynamics Simulations ◽  
Interaction Energies ◽  
Protein Energy ◽  
Residue Interaction ◽  
Dynamics Simulations ◽  
Energy Network

Allosteric pathway identification through network analysis: from molecular dynamics simulations to interactive 2D and 3D graphs

2014 ◽  
Vol 169 ◽  
pp. 303-321 ◽  
Author(s):  
Ariane Allain ◽  
Isaure Chauvot de Beauchêne ◽  
Florent Langenfeld ◽  
Yann Guarracino ◽  
Elodie Laine ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Network Analysis ◽  
Molecular Dynamics Simulations ◽  
Large Scale ◽  
Allosteric Regulation ◽  
Local Perturbation ◽  
Modular Network ◽  
Allosteric Coupling ◽  
Dynamics Simulations

Allostery is a universal phenomenon that couples the information induced by a local perturbation (effector) in a protein to spatially distant regulated sites. Such an event can be described in terms of a large scale transmission of information (communication) through a dynamic coupling between structurally rigid (minimally frustrated) and plastic (locally frustrated) clusters of residues. To elaborate a rational description of allosteric coupling, we propose an original approach – MOdular NETwork Analysis (MONETA) – based on the analysis of inter-residue dynamical correlations to localize the propagation of both structural and dynamical effects of a perturbation throughout a protein structure. MONETA uses inter-residue cross-correlations and commute times computed from molecular dynamics simulations and a topological description of a protein to build a modular network representation composed of clusters of residues (dynamic segments) linked together by chains of residues (communication pathways). MONETA provides a brand new direct and simple visualization of protein allosteric communication. A GEPHI module implemented in the MONETA package allows the generation of 2D graphs of the communication network. An interactive PyMOL plugin permits drawing of the communication pathways between chosen protein fragments or residues on a 3D representation. MONETA is a powerful tool for on-the-fly display of communication networks in proteins. We applied MONETA for the analysis of communication pathways (i) between the main regulatory fragments of receptors tyrosine kinases (RTKs), KIT and CSF-1R, in the native and mutated states and (ii) in proteins STAT5 (STAT5a and STAT5b) in the phosphorylated and the unphosphorylated forms. The description of the physical support for allosteric coupling by MONETA allowed a comparison of the mechanisms of (a) constitutive activation induced by equivalent mutations in two RTKs and (b) allosteric regulation in the activated and non-activated STAT5 proteins. Our theoretical prediction based on results obtained with MONETA was validated for KIT by in vitro experiments. MONETA is a versatile analytical and visualization tool entirely devoted to the understanding of the functioning/malfunctioning of allosteric regulation in proteins – a crucial basis to guide the discovery of next-generation allosteric drugs.

How does hydrogen bond network analysis reveal the golden ratio of water–glycerol mixtures?

2020 ◽  
Vol 22 (5) ◽  
pp. 2887-2907
Author(s):  
Trevor R. Fisher ◽  
Guobing Zhou ◽  
Yijun Shi ◽  
Liangliang Huang
Keyword(s):  
Molecular Dynamics ◽  
Hydrogen Bond ◽  
Network Analysis ◽  
Molecular Dynamics Simulations ◽  
Golden Ratio ◽  
Hydrogen Bond Network ◽  
Maximum Contribution ◽  
Water Glycerol ◽  
Bond Network ◽  
Dynamics Simulations

Molecular dynamics simulations reveal that the maximum contribution of H-bonds between water and glycerol occurs around 30 mol% glycerol. Such a concentration is also where several of the mixture's properties have an observed maxima or minima.

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