ArticleBMC bioinformatics2011
MAVENs: motion analysis and visualization of elastic networks and structural ensembles.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022Review
- The Bio3D packages for structural bioinformatics.Protein science : a publication of the Protein Society · 2021Article
- Computational Ways to Enhance Protein Inhibitor Design.Frontiers in molecular biosciences · 2020Article
- Building Bridges Between Structural and Network-Based Systems Biology.Molecular biotechnology · 2019Review
- Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-Grained Simulations and Elastic Network Models.International journal of molecular sciences · 2018Review
- Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web.Journal of visualized experiments : JoVE · 2017Article
- DynOmics: dynamics of structural proteome and beyond.Nucleic acids research · 2017Article
- Deformation pattern in vibrating microtubule: Structural mechanics study based on an atomistic approach.Scientific reports · 2017Article
- Genome-wide associations of CD46 and IFI44L genetic variants with neutralizing antibody response to measles vaccine.Human genetics · 2017Article
- Article
- Protocols for Molecular Dynamics Simulations of RNA Nanostructures.Methods in molecular biology (Clifton, N.J.) · 2017Article
- Online interactive analysis of protein structure ensembles with Bio3D-web.Bioinformatics (Oxford, England) · 2016Article
- Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.PLoS computational biology · 2016Review
- Distributions of experimental protein structures on coarse-grained free energy landscapes.The Journal of chemical physics · 2015Article
- Conformational Motions and Functionally Key Residues for Vitamin B12 Transporter BtuCD-BtuF Revealed by Elastic Network Model with a Function-Related Internal Coordinate.International journal of molecular sciences · 2015Article
- Aldolases Utilize Different Oligomeric States To Preserve Their Functional Dynamics.Biochemistry · 2015Article
- The use of experimental structures to model protein dynamics.Methods in molecular biology (Clifton, N.J.) · 2015Article
- Integrating protein structural dynamics and evolutionary analysis with Bio3D.BMC bioinformatics · 2014Article
- In silico design and enzymatic synthesis of functional RNA nanoparticles.Accounts of chemical research · 2014Article
- Computational and experimental characterization of RNA cubic nanoscaffolds.Methods (San Diego, Calif.) · 2014Article
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3 authors.
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Abstract
backgroundThe ability to generate, visualize, and analyze motions of biomolecules has made a significant impact upon modern biology. Molecular Dynamics has gained substantial use, but remains computationally demanding and difficult to setup for many biologists. Elastic network models (ENMs) are an alternative and have been shown to generate the dominant equilibrium motions of biomolecules quickly and efficiently. These dominant motions have been shown to be functionally relevant and also to indicate the likely direction of conformational changes. Most structures have a small number of dominant motions. Comparing computed motions to the structure's conformational ensemble derived from a collection of static structures or frames from an MD trajectory is an important way to understand functional motions as well as evaluate the models. Modes of motion computed from ENMs can be visualized to gain functional and mechanistic understanding and to compute useful quantities such as average positional fluctuations, internal distance changes, collectiveness of motions, and directional correlations within the structure.
resultsOur new software, MAVEN, aims to bring ENMs and their analysis to a broader audience by integrating methods for their generation and analysis into a user friendly environment that automates many of the steps. Models can be constructed from raw PDB files or density maps, using all available atomic coordinates or by employing various coarse-graining procedures. Visualization can be performed either with our software or exported to molecular viewers. Mixed resolution models allow one to study atomic effects on the system while retaining much of the computational speed of the coarse-grained ENMs. Analysis options are available to further aid the user in understanding the computed motions and their importance for its function.
conclusionMAVEN has been developed to simplify ENM generation, allow for diverse models to be used, and facilitate useful analyses, all on the same platform. This represents an integrated approach that incorporates all four levels of the modeling process - generation, evaluation, analysis, visualization - and also brings to bear multiple ENM types. The intension is to provide a versatile modular suite of programs to a broader audience. MAVEN is available for download at http://maven.sourceforge.net.
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