simulation model for passive harmonic filters Search Results


90
Molecular Dynamics Inc dynamics flexible fitting
Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with <t>NMA</t> and <t>PCA</t> results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background
Dynamics Flexible Fitting, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
MathWorks Inc passive control force simulink simulation model
Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with <t>NMA</t> and <t>PCA</t> results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background
Passive Control Force Simulink Simulation Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
MathWorks Inc prvc mode
Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with <t>NMA</t> and <t>PCA</t> results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background
Prvc Mode, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
MathWorks Inc 2 dof passive suspension system
Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with <t>NMA</t> and <t>PCA</t> results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background
2 Dof Passive Suspension System, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
Millipore passive skin simulation model (pssm)
Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with <t>NMA</t> and <t>PCA</t> results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background
Passive Skin Simulation Model (Pssm), supplied by Millipore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
COMSOL Inc multiphysics simulation tool
Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with <t>NMA</t> and <t>PCA</t> results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background
Multiphysics Simulation Tool, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with NMA and PCA results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background

Journal: Biophysical Reviews

Article Title: The ribosome’s energy landscape: Recent insights from computation

doi: 10.1007/s12551-014-0155-1

Figure Lengend Snippet: Local fluctuations are consistent between highly detailed and simplified models. A) Spatial RMSF of the 16S rRNA calculated from a 250-ns explicit-solvent simulation (> 3 × 106 atoms) and an all-atom structure-based SMOG model (≈150,000 atoms) (Whitford et al. 2010a). While the SMOG model uses a simplified description of the energetics, the local fluctuations are consistent in scale and distribution. B) The first principal component (PC) calculated from a simulation with an all-atom SMOG model (simulation described in Noel et al. (2014) is shown, where the arrows indicate the direction and scale of movement of each P atom in the small subunit (cyan). The first PC captures rotation of the small subunit, consistent with NMA and PCA results with coarse-grained models (Trylska et al. 2005; Tama et al. 2003), demonstrating that local fluctuations are not strongly influenced by energetic details. For reference, the 23S rRNA is shown in transparent representation in the background

Article Snippet: Abbreviations tRNA transfer RNA aa-tRNA aminoacyl-transfer RNA EF-Tu Elongation Factor Tu EF-G Elongation Factor G SMOG Structure-based models in Gromacs MDFF Molecular dynamics flexible fitting PCA Principal component analysis NMA Normal mode analysis

Techniques: Solvent