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Cited by 270

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Analysis and Functional Prediction of Reactive Cysteine Residues

Open access
Marino, Stefano M., Gladyshev, Vadim N.·2012·Journal of Biological Chemistry

Abstract

Cys is much different from other common amino acids in proteins. Being one of the least abundant residues, Cys is often observed in functional sites in proteins. This residue is reactive, polarizable, and redox-active; has high affinity for metals; and is particularly responsive to the local environment. A better understanding of the basic properties of Cys is essential for interpretation of high-throughput data sets and for prediction and classification of functional Cys residues. We provide an overview of approaches used to study Cys residues, from methods for investigation of their basic properties, such as exposure and pK(a), to algorithms for functional prediction of different types of Cys in proteins.

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Metadata

Authors
Marino, S. M., & Gladyshev, V. N.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2012-02
Volume
287
Issue
7
Pages
4419-4425
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2085094809
Cited by
270
References
8
FWCI
5.76
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Analysis and Functional Prediction of Reactive Cysteine Residues. https://app.cochat.ai/papers/10.1074/jbc.r111.275578
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Marino, S. M., & Gladyshev, V. N. (2012). Analysis and Functional Prediction of Reactive Cysteine Residues. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.r111.275578

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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.