Enhancing the quality of protein conformation ensembles with relative populations

scientific article published on 12 February 2014

Enhancing the quality of protein conformation ensembles with relative populations is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1007/S10858-014-9818-2
P698PubMed publication ID24519023

P2093author name stringGuang Song
Tu-Liang Lin
Vijay Vammi
P2860cites workThe Protein Data BankQ24515306
The MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteinsQ27643551
Ensemble Refinement of Protein Crystal Structures: Validation and ApplicationQ27648076
Recognition dynamics up to microseconds revealed from an RDC-derived ubiquitin ensemble in solutionQ27650851
The structure of human ubiquitin in 2-methyl-2,4-pentanediol: A new conformational switchQ27667316
Weak Long-Range Correlated Motions in a Surface Patch of Ubiquitin Involved in Molecular RecognitionQ27668139
From Levinthal to pathways to funnelsQ28300934
Nuclear magnetic dipole interactions in field-oriented proteins: information for structure determination in solutionQ29041975
Asparagine and glutamine: using hydrogen atom contacts in the choice of side-chain amide orientationQ29616387
The role of dynamic conformational ensembles in biomolecular recognitionQ29616407
The Energy Landscapes and Motions of ProteinsQ29616408
Heterogeneity and inaccuracy in protein structures solved by X-ray crystallography.Q30341462
Simultaneous determination of protein structure and dynamics.Q30349988
Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics.Q30369740
Toward a unified representation of protein structural dynamics in solution.Q30382603
Nonlinear elasticity, proteinquakes, and the energy landscapes of functional transitions in proteinsQ30482136
How much backbone motion in ubiquitin is required to account for dipolar coupling data measured in multiple alignment media as assessed by independent cross-validation?Q33198749
Describing protein conformational ensembles: beyond static snapshotsQ34076385
The role of structure, energy landscape, dynamics, and allostery in the enzymatic function of myoglobinQ34459642
Molecular dynamics simulations of biomoleculesQ34799927
Relation between native ensembles and experimental structures of proteinsQ34984169
Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering AlgorithmsQ35860788
Atomic-level description of ubiquitin foldingQ36762717
Accelerated molecular dynamics: a promising and efficient simulation method for biomoleculesQ46058456
New techniques in structural NMR--anisotropic interactionsQ47841921
Multiplet component separation for measurement of methyl 13C-1H dipolar couplings in weakly aligned proteins.Q52059745
Do NOE distances contain enough information to assess the relative populations of multi-conformer structures?Q52888394
A Thorough Dynamic Interpretation of Residual Dipolar Couplings in UbiquitinQ57207976
Prediction of protein conformational freedom from distance constraintsQ57754185
Dynamics of ligand binding to myoglobinQ67337334
Amplitudes of protein backbone dynamics and correlated motions in a small alpha/beta protein: correspondence of dipolar coupling and heteronuclear relaxation measurementsQ80454031
Concordance of residual dipolar couplings, backbone order parameters and crystallographic B-factors for a small alpha/beta protein: a unified picture of high probability, fast atomic motions in proteinsQ81605411
Is one solution good enough?Q82735304
P433issue3
P407language of work or nameEnglishQ1860
P304page(s)209-225
P577publication date2014-02-12
P1433published inJournal of Biomolecular NMRQ3186900
P1476titleEnhancing the quality of protein conformation ensembles with relative populations
P478volume58

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cites work (P2860)
Q40423022Ensembles of a small number of conformations with relative populations
Q38810874Protein dynamics and function from solution state NMR spectroscopy
Q39766336Visualizing ensembles in structural biology

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