ArticleBiophysical journal2017
Equilibrium Ensembles for Insulin Folding from Bias-Exchange Metadynamics.
Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 25 citations in OpenAlex.
- X-ray crystallographic and hydrogen deuterium exchange studies confirm alternate kinetic models for homolog insulin monomers.PloS one · 2025Article
- Illuminating the "Twilight Zone": Advances in Difficult Protein Modeling.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Progress in Simulation Studies of Insulin Structure and Function.Frontiers in endocrinology · 2022Review
- Structural Ensemble of the Insulin Monomer.Biochemistry · 2021Article
- Thermodynamic Origin of Differential Excipient-Lysozyme Interactions.Frontiers in molecular biosciences · 2021Article
- Insulin Dissociates by Diverse Mechanisms of Coupled Unfolding and Unbinding.The journal of physical chemistry. B · 2020Article
- Misfolded proinsulin in the endoplasmic reticulum during development of beta cell failure in diabetes.Annals of the New York Academy of Sciences · 2018Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Earliest events in the aggregation process, such as single molecule reconfiguration, are extremely important and the most difficult to characterize in experiments. To this end, we have used well-tempered bias exchange metadynamics simulations to determine the equilibrium ensembles of an insulin molecule under amyloidogenic conditions of low pH and high temperature. A bin-based clustering method that uses statistics accumulated in bias exchange metadynamics trajectories was employed to construct a detailed thermodynamic and kinetic model of insulin folding. The highest lifetime, lowest free-energy ensemble identified consisted of native conformations adopted by a folded insulin monomer in solution, namely, the R-, the R
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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.