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Cited by 187

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Allostery and population shift in drug discovery

Open access
Kar, Gozde, Keskin, Ozlem, Gursoy, Attila, Nussinov, Ruth·2010·Current Opinion in Pharmacology

Abstract

Proteins can exist in a large number of conformations around their native states that can be characterized by an energy landscape. The landscape illustrates individual valleys, which are the conformational substates. From the functional standpoint, there are two key points: first, all functionally relevant substates pre-exist; and second, the landscape is dynamic and the relative populations of the substates will change following allosteric events. Allosteric events perturb the structure, and the energetic strain propagates and shifts the population. This can lead to changes in the shapes and properties of target binding sites. Here we present an overview of dynamic conformational ensembles focusing on allosteric events in signaling. We propose that combining equilibrium fluctuation concepts with genomic screens could help drug discovery.

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Metadata

Authors
Kar, G., Keskin, O., Gursoy, A., & Nussinov, R.
Venue
Current Opinion in Pharmacology
Publisher
Elsevier BV
Published
2010-12
Volume
10
Issue
6
Pages
715-722
ISSN
1471-4892 (ISSN-L)
OpenAlex
W2164385498
Cited by
187
References
5
FWCI
7.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Allostery and population shift in drug discovery. https://app.cochat.ai/papers/10.1016/j.coph.2010.09.002
The paper
Kar, G., Keskin, O., Gursoy, A., & Nussinov, R. (2010). Allostery and population shift in drug discovery. Current Opinion in Pharmacology. https://doi.org/10.1016/j.coph.2010.09.002

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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.