| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/ploscb/TibertiPBBL15 |
| P356 | DOI | 10.1371/JOURNAL.PCBI.1004415 |
| P8608 | Fatcat ID | release_7d4cbwznurb6xpqiriv6ntwd7q |
| P10897 | ORKG ID | R168591 |
| P932 | PMC publication ID | 4624683 |
| P698 | PubMed publication ID | 26505632 |
| P5875 | ResearchGate publication ID | 283294713 |
| P50 | author | Tone Bengtsen | Q86565061 |
| Elena Papaleo | Q37378300 | ||
| Wouter Boomsma | Q41047212 | ||
| Kresten Lindorff-Larsen | Q41047229 | ||
| P2093 | author name string | Matteo Tiberti | |
| P2860 | cites work | Surprisal Metrics for Quantifying Perturbed Conformational Dynamics in Markov State Models. | Q50910954 |
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| Efficient RMSD measures for the comparison of two molecular ensembles. Root-mean-square deviation | Q78627277 | ||
| Is one solution good enough? | Q82735304 | ||
| Will molecular dynamics simulations of proteins ever reach equilibrium? | Q84187583 | ||
| Molecular dynamics simulations with replica-averaged structural restraints generate structural ensembles according to the maximum entropy principle | Q86365791 | ||
| Combining experiments and simulations using the maximum entropy principle | Q35105556 | ||
| E pluribus unum, no more: from one crystal, many conformations | Q35223123 | ||
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| Predicting the Thermodynamics and Kinetics of Helix Formation in a Cyclic Peptide Model. | Q40304542 | ||
| The consistency of large concerted motions in proteins in molecular dynamics simulations | Q41952660 | ||
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| Phosphorylation drives a dynamic switch in serine/arginine-rich proteins | Q43415714 | ||
| On the Use of Experimental Observations to Bias Simulated Ensembles | Q44810418 | ||
| Fast large-scale clustering of protein structures using Gauss integrals | Q48020936 | ||
| Markov state models of biomolecular conformational dynamics | Q26827934 | ||
| The MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteins | Q27643551 | ||
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| Weak Long-Range Correlated Motions in a Surface Patch of Ubiquitin Involved in Molecular Recognition | Q27668139 | ||
| Determination of structural fluctuations of proteins from structure-based calculations of residual dipolar couplings | Q27681360 | ||
| Improved Cross Validation of a Static Ubiquitin Structure Derived from High Precision Residual Dipolar Couplings Measured in a Drug-Based Liquid Crystalline Phase | Q27681903 | ||
| Systematic validation of protein force fields against experimental data | Q28731830 | ||
| Atomic-level characterization of the structural dynamics of proteins | Q29616380 | ||
| Sensitivity and selectivity in protein structure comparison | Q30312119 | ||
| Simultaneous determination of protein structure and dynamics. | Q30349988 | ||
| Protein folding and the organization of the protein topology universe. | Q30349994 | ||
| Mixture models for protein structure ensembles. | Q30371004 | ||
| Comparing molecular dynamics force fields in the essential subspace. | Q30373070 | ||
| Inference of structure ensembles of flexible biomolecules from sparse, averaged data | Q30697040 | ||
| Fast mapping of global protein folding states by multivariate NMR: a GPS for proteins | Q30981802 | ||
| Clustering by passing messages between data points | Q31091773 | ||
| Measuring similarity between dynamic ensembles of biomolecules | Q33699020 | ||
| MDAnalysis: a toolkit for the analysis of molecular dynamics simulations | Q33875319 | ||
| How fast-folding proteins fold | Q34228223 | ||
| A self-organizing principle for learning nonlinear manifolds | Q34414635 | ||
| Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction | Q34772955 | ||
| Relation between native ensembles and experimental structures of proteins | Q34984169 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 10 | |
| P921 | main subject | software | Q7397 |
| P304 | page(s) | e1004415 | |
| P577 | publication date | 2015-10-27 | |
| P1433 | published in | PLOS Computational Biology | Q2635829 |
| P1476 | title | ENCORE: Software for Quantitative Ensemble Comparison | |
| P478 | volume | 11 |
| Q30398537 | A comparative study of cold- and warm-adapted Endonucleases A using sequence analyses and molecular dynamics simulations |
| Q93016102 | Barnaba: software for analysis of nucleic acid structures and trajectories |
| Q38954980 | Conformational Rigidity and Protein Dynamics at Distinct Timescales Regulate PTP1B Activity and Allostery. |
| Q89484077 | Conformational ensemble comparison for small molecules in drug discovery |
| Q38429535 | Ensemblator v3: Robust atom-level comparative analyses and classification of protein structure ensembles |
| Q38619920 | Exploring the potential of a structural alphabet-based tool for mining multiple target conformations and target flexibility insight. |
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| Q93377682 | Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories |
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