Application of elastic network models to proteins in the crystalline state.
about
Elastic network models capture the motions apparent within ensembles of RNA structuresIdentifying essential pairwise interactions in elastic network model using the alpha shape theory.FlexE: Using elastic network models to compare models of protein structure.Optimal modeling of atomic fluctuations in protein crystal structures for weak crystal contact interactions.Pre-existing soft modes of motion uniquely defined by native contact topology facilitate ligand binding to proteinsAll-atom modeling of anisotropic atomic fluctuations in protein crystal structures.Evaluating elastic network models of crystalline biological molecules with temperature factors, correlated motions, and diffuse x-ray scattering.Large-scale evaluation of dynamically important residues in proteins predicted by the perturbation analysis of a coarse-grained elastic modelOn the conservation of the slow conformational dynamics within the amino acid kinase family: NAGK the paradigm.Generalized spring tensor models for protein fluctuation dynamics and conformation changes.MAVENs: motion analysis and visualization of elastic networks and structural ensembles.Models with energy penalty on interresidue rotation address insufficiencies of conventional elastic network modelsFunctional domain motions in proteins on the ~1-100 ns timescale: comparison of neutron spin-echo spectroscopy of phosphoglycerate kinase with molecular-dynamics simulation.PIM: phase integrated method for normal mode analysis of biomolecules in a crystalline environmentMolecular dynamics simulation of triclinic lysozyme in a crystal lattice.Structural dynamics of a methionine γ-lyase for calicheamicin biosynthesis: Rotation of the conserved tyrosine stacking with pyridoxal phosphate.Protein elastic network models and the ranges of cooperativityGlobal dynamics of proteins: bridging between structure and function.Protein functional landscapes, dynamics, allostery: a tortuous path towards a universal theoretical framework.Comparing normal modes across different models and scales: Hessian reduction versus coarse-graining.Perspective: Coarse-grained models for biomolecular systems.The maximum penalty criterion for ridge regression: application to the calibration of the force constant in elastic network models.Probing the folded state and mechanical unfolding pathways of T4 lysozyme using all-atom and coarse-grained molecular simulation.Aligning experimental and theoretical anisotropic B-factors: water models, normal-mode analysis methods, and metrics.Anharmonic normal mode analysis of elastic network model improves the modeling of atomic fluctuations in protein crystal structures.Cutoff lensing: predicting catalytic sites in enzymes.Sequence composition and environment effects on residue fluctuations in protein structures.The effects of rigid motions on elastic network model force constants.Physical arguments for distance-weighted interactions in elastic network models for proteins.MD simulations of the dsRBP DGCR8 reveal correlated motions that may aid pri-miRNA binding.Multiscale Gaussian network model (mGNM) and multiscale anisotropic network model (mANM).B-factor profile prediction for RNA flexibility using support vector machines.Normal mode analysis as a method to derive protein dynamics information from the Protein Data Bank.Solvated dissipative electro-elastic network model of hydrated proteins.Conventional NMA as a better standard for evaluating elastic network models.Internal protein motions in molecular-dynamics simulations of Bragg and diffuse X-ray scattering.Diffuse scattering resulting from macromolecular frustration
P2860
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P2860
Application of elastic network models to proteins in the crystalline state.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Application of elastic network models to proteins in the crystalline state.
@ast
Application of elastic network models to proteins in the crystalline state.
@en
type
label
Application of elastic network models to proteins in the crystalline state.
@ast
Application of elastic network models to proteins in the crystalline state.
@en
prefLabel
Application of elastic network models to proteins in the crystalline state.
@ast
Application of elastic network models to proteins in the crystalline state.
@en
P2093
P2860
P1433
P1476
Application of elastic network models to proteins in the crystalline state.
@en
P2093
Demian Riccardi
George N Phillips
P2860
P304
P356
10.1016/J.BPJ.2008.10.010
P407
P577
2009-01-01T00:00:00Z