2015
DOI: 10.1016/j.bpj.2015.06.013
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MDN: A Web Portal for Network Analysis of Molecular Dynamics Simulations

Abstract: We introduce a web portal that employs network theory for the analysis of trajectories from molecular dynamics simulations. Users can create protein energy networks following methodology previously introduced by our group, and can identify residues that are important for signal propagation, as well as measure the efficiency of signal propagation by calculating the network coupling. This tool, called MDN, was used to characterize signal propagation in Escherichia coli heat-shock protein 70-kDa. Two variants of … Show more

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Cited by 16 publications
(13 citation statements)
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References 41 publications
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“…Network analysis has the ability to abstract out such complexity while maintaining the inter-residue relationships, from which several centrality metrics derived from the social sciences, may be applied to investigate protein dynamics. Many research groups have applied residue interaction network (RIN) analysis on static structures, and have used multiple strategies and tools for summarizing the protein interactions using various edge and node modeling approaches [1][2][3][4] to minimize bias and maintain enough variance for recapitulating proteins topological changes. We previously proposed a post-hoc analysis approach of MD simulations using dynamic residue network (DRN) analysis to probe the impact of mutations [5,6] and allosteric effects [7] , before setting up the MD-TASK tool suite [8] in 2017.…”
Section: Introductionmentioning
confidence: 99%
“…Network analysis has the ability to abstract out such complexity while maintaining the inter-residue relationships, from which several centrality metrics derived from the social sciences, may be applied to investigate protein dynamics. Many research groups have applied residue interaction network (RIN) analysis on static structures, and have used multiple strategies and tools for summarizing the protein interactions using various edge and node modeling approaches [1][2][3][4] to minimize bias and maintain enough variance for recapitulating proteins topological changes. We previously proposed a post-hoc analysis approach of MD simulations using dynamic residue network (DRN) analysis to probe the impact of mutations [5,6] and allosteric effects [7] , before setting up the MD-TASK tool suite [8] in 2017.…”
Section: Introductionmentioning
confidence: 99%
“…webPSN investigates structural communication in macromolecules by constructing static and dynamic AANs (Felline et al, 2020). Furthermore, AAN-based Web servers such as MDN (Ribeiro and Ortiz, 2015), NAPS (Chakrabarty and Parekh, 2016), and RIP-MD (Contreras-Riquelme et al, 2018) provide tools for quantifying protein dynamic based on MD simulation trajectories. More tools and Web servers for network can be found in a recent review (Liang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Comprehensive analysis of the huge MD data is challenging and requires computationally efficient approaches for easy interpretation of the data. To the best of our knowledge, apart from MDN (18), majority of the resources for network analysis of MD trajectories are standalone software packages such as xPyder (19), PyInteraph (20), MD-TASK (21), gRINN (22) and PSN-Ensemble (23). xPyder is a PyMOL (https://www.pymol.org) plugin that constructs the network based on dynamic cross correlation between amino acid residues integrated with various features of PyMOL.…”
Section: Introductionmentioning
confidence: 99%