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Cited by 938

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

The Gross Conformation of Protein-Sodium Dodecyl Sulfate Complexes

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Reynolds, Jacqueline A., Tanford, Charles·1970·Journal of Biological Chemistry

Abstract

Abstract The interaction of sodium dodecyl sulfate with a wide variety of proteins is characterized by a high binding ratio when the monomer concentration of amphiphile exceeds 5 x 10-4 m. This binding ratio on a gram to gram basis is identical for all proteins investigated. The protein portion of the complex contains a high degree of order, and hydrodynamic studies suggest that the complex is a rodlike particle, the length of which varies uniquely with the molecular weight of the protein moiety. These results explain the empirical observation that proteins dissolved in aqueous solutions containing high concentrations of sodium dodecyl sulfate have electrophoretic mobilities on polyacrylamide gels which are a unique function of their molecular weights. In addition, the data suggest a possible model for the conformation of membrane proteins and their interactions with phospholipid.

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Crossref · 10.1016/s0021-9258(18)62831-5

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Metadata

Authors
Reynolds, J. A., & Tanford, C.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1970-10
Volume
245
Issue
19
Pages
5161-5165
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1486292873
Cited by
938
References
13
FWCI
99.73
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Gross Conformation of Protein-Sodium Dodecyl Sulfate Complexes. https://app.cochat.ai/papers/10.1016/s0021-9258(18)62831-5
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Reynolds, J. A., & Tanford, C. (1970). The Gross Conformation of Protein-Sodium Dodecyl Sulfate Complexes. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(18)62831-5

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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.