ArticleBiology direct2018
Modeling protein folding in vivo.
Article in Biology direct, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Where next for structural bioinformatics?PLoS biology · 2026Article
- A Study of a Protein-Folding Machine: Transient Rotation of the Polypeptide Backbone Facilitates Rapid Folding of Protein Domains in All-Atom Molecular Dynamics Simulations.International journal of molecular sciences · 2023Article
- Regulation by Different Types of Chaperones of Amyloid Transformation of Proteins Involved in the Development of Neurodegenerative Diseases.International journal of molecular sciences · 2022Review
- Is Protein Folding a Thermodynamically Unfavorable, Active, Energy-Dependent Process?International journal of molecular sciences · 2022Review
- Folding and Evolution of a Repeat Protein on the Ribosome.Frontiers in molecular biosciences · 2022Article
- Artificial Intelligence Deconstructs Drug TargetingACS medicinal chemistry letters · 2021Article
- Artificial Intelligence Set to Reverse Engineer Drug Targeting in the Cell.ACS pharmacology & translational science · 2021Article
- Statistical Evidence for a Helical Nascent Chain.Biomolecules · 2021Article
- Effects of Ionic Liquids on Metalloproteins.Molecules (Basel, Switzerland) · 2021Review
- Energy-dependent protein folding: modeling how a protein folding machine may work.F1000Research · 2021Article
- An ancient evolutionary connection between Ribonuclease A and EndoU families.RNA (New York, N.Y.) · 2020Article
- A hybrid, bottom-up, structurally accurate, Go¯-like coarse-grained protein model.The Journal of chemical physics · 2019Article
- Topological descriptions of protein folding.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
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2 authors.
Funding
Abstract
A half century of studying protein folding in vitro and modeling it in silico has not provided us with a reliable computational method to predict the native conformations of proteins de novo, let alone identify the intermediates on their folding pathways. In this Opinion article, we suggest that the reason for this impasse is the over-reliance on current physical models of protein folding that are based on the assumption that proteins are able to fold spontaneously without assistance. These models arose from studies conducted in vitro on a biased sample of smaller, easier-to-isolate proteins, whose native structures appear to be thermodynamically stable. Meanwhile, the vast empirical data on the majority of larger proteins suggests that once these proteins are completely denatured in vitro, they cannot fold into native conformations without assistance. Moreover, they tend to lose their native conformations spontaneously and irreversibly in vitro, and therefore such conformations must be metastable. We propose a model of protein folding that is based on the notion that the folding of all proteins in the cell is mediated by the actions of the "protein folding machine" that includes the ribosome, various chaperones, and other components involved in co-translational or post-translational formation, maintenance and repair of protein native conformations in vivo. The most important and universal component of the protein folding machine consists of the ribosome in complex with the welcoming committee chaperones. The concerted actions of molecular machinery in the ribosome peptidyl transferase center, in the exit tunnel, and at the surface of the ribosome result in the application of mechanical and other forces to the nascent peptide, reducing its conformational entropy and possibly creating strain in the peptide backbone. The resulting high-energy conformation of the nascent peptide allows it to fold very fast and to overcome high kinetic barriers along the folding pathway. The early folding intermediates in vivo are stabilized by interactions with the ribosome and welcoming committee chaperones and would not be able to exist in vitro in the absence of such cellular components. In vitro experiments that unfold proteins by heat or chemical treatment produce denaturation ensembles that are very different from folding intermediates in vivo and therefore have very limited use in reconstructing the in vivo folding pathways. We conclude that computational modeling of protein folding should deemphasize the notion of unassisted thermodynamically controlled folding, and should focus instead on the step-by-step reverse engineering of the folding process as it actually occurs in vivo. REVIEWERS: This article was reviewed by Eugene Koonin and Frank Eisenhaber.
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