ArticleChaos (Woodbury, N.Y.)2014
Molecular nonlinear dynamics and protein thermal uncertainty quantification.
Article in Chaos (Woodbury, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Uncertainty Quantification forChemical reviews · 2026Review
- Machine learning predictions from unpredictable chaos.Journal of the Royal Society, Interface · 2025Article
- Intrinsically Disordered Proteins: Critical Components of the Wetware.Chemical reviews · 2022Review
- Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis.Journal of applied and computational topology · 2020Article
- A review of mathematical representations of biomolecular data.Physical chemistry chemical physics : PCCP · 2020Review
- Article
- Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis.Journal of computational chemistry · 2016Article
- Quarterly intrinsic disorder digest (January-February-March, 2014).Intrinsically disordered proteins · 2016Article
- Multidimensional persistence in biomolecular data.Journal of computational chemistry · 2015Article
- Communication: Capturing protein multiscale thermal fluctuations.The Journal of chemical physics · 2015Article
- Persistent homology for the quantitative prediction of fullerene stability.Journal of computational chemistry · 2015Article
- Persistent homology analysis of protein structure, flexibility, and folding.International journal for numerical methods in biomedical engineering · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This work introduces molecular nonlinear dynamics (MND) as a new approach for describing protein folding and aggregation. By using a mode system, we show that the MND of disordered proteins is chaotic while that of folded proteins exhibits intrinsically low dimensional manifolds (ILDMs). The stability of ILDMs is found to strongly correlate with protein energies. We propose a novel method for protein thermal uncertainty quantification based on persistently invariant ILDMs. Extensive comparison with experimental data and the state-of-the-art methods in the field validate the proposed new method for protein B-factor prediction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.