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Natively unfolded proteins: A point where biology waits for physics

Open access
Uversky, Vladimir N.·2002·Protein Science

Abstract

The experimental material accumulated in the literature on the conformational behavior of intrinsically unstructured (natively unfolded) proteins was analyzed. Results of this analysis showed that these proteins do not possess uniform structural properties, as expected for members of a single thermodynamic entity. Rather, these proteins may be divided into two structurally different groups: intrinsic coils, and premolten globules. Proteins from the first group have hydrodynamic dimensions typical of random coils in poor solvent and do not possess any (or almost any) ordered secondary structure. Proteins from the second group are essentially more compact, exhibiting some amount of residual secondary structure, although they are still less dense than native or molten globule proteins. An important feature of the intrinsically unstructured proteins is that they undergo disorder–order transition during or prior to their biological function. In this respect, the Protein Quartet model, with function arising from four specific conformations (ordered forms, molten globules, premolten globules, and random coils) and transitions between any two of the states, is discussed.

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Metadata

Authors
Uversky, V. N.
Venue
Protein Science
Publisher
Wiley
Published
2002-04
Volume
11
Issue
4
Pages
739-756
ISSN
  • 0961-8368 (ISSN-L)
  • 1469-896X
OpenAlex
W2119693327
Cited by
1,813
References
5
FWCI
18.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Natively unfolded proteins: A point where biology waits for physics. https://app.cochat.ai/papers/10.1110/ps.4210102
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Uversky, V. N. (2002). Natively unfolded proteins: A point where biology waits for physics. Protein Science. https://doi.org/10.1110/ps.4210102

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.