Unknown

Dataset Information

0

Allostery and population shift in drug discovery.


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.

SUBMITTER: Kar G 

PROVIDER: S-EPMC7316380 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Allostery and population shift in drug discovery.

Kar Gozde G   Keskin Ozlem O   Gursoy Attila A   Nussinov Ruth R  

Current opinion in pharmacology 20100929 6


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 th  ...[more]

Similar Datasets

| S-EPMC3528551 | biostudies-literature
| S-EPMC7031744 | biostudies-literature
| S-EPMC4469037 | biostudies-literature
| S-EPMC7339658 | biostudies-literature
| S-EPMC6369819 | biostudies-literature
| S-EPMC4241894 | biostudies-literature
2019-03-28 | MSV000083640 | MassIVE
| S-EPMC3312097 | biostudies-other
2017-10-08 | GSE62170 | GEO
| S-EPMC4422561 | biostudies-other