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Challenges for the prediction of macromolecular interactions.

Wass, Mark N., David, Alessia, Sternberg, Michael J.E. (2011) Challenges for the prediction of macromolecular interactions. Current Opinion in Structural Biology, 21 (3). pp. 382-90. ISSN 0959-440X. (doi:10.1016/j.sbi.2011.03.013) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:34218)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1016/j.sbi.2011.03.013

Abstract

Macromolecular interactions are central to most cellular processes. Experimental methods generate diverse data on these interactions ranging from high throughput protein-protein interactions (PPIs) to the crystallised structures of complexes. Despite this, only a fraction of interactions have been identified and therefore predictive methods are essential to fill in the numerous gaps. Many predictive methods use information from related proteins. Accordingly, we review the conservation of interface and ligand binding sites within protein families and their association with conserved residues and Specificity Determining Positions. We then review recent developments in predictive methods for the identification of PPIs, protein interface sites and small molecule ligand binding sites. The challenges that are still faced by the community in these areas are discussed.

Item Type: Article
DOI/Identification number: 10.1016/j.sbi.2011.03.013
Subjects: Q Science
Divisions: Divisions > Division of Natural Sciences > Biosciences
Depositing User: Mark Wass
Date Deposited: 07 Jun 2013 12:15 UTC
Last Modified: 16 Nov 2021 10:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/34218 (The current URI for this page, for reference purposes)

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