Comment on ‘protein–protein binding affinity prediction from amino acid sequence

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dc.contributor	Barcelona Supercomputing Center
dc.contributor.author	Moal, Iain H.
dc.contributor.author	Fernández-Recio, Juan
dc.date	2014-10-17
dc.identifier.citation	Moal, Iain H.; Fernández-Recio, Juan. Comment on ‘protein–protein binding affinity prediction from amino acid sequence. "Bioinformatics", 17 Octubre 2014, vol. 31, núm. 4, p. 614-615.
dc.identifier.citation	1367-4803
dc.identifier.citation	10.1093/bioinformatics/btu682
dc.identifier.uri	http://hdl.handle.net/2117/84646
dc.language.iso	eng
dc.relation	http://bioinformatics.oxfordjournals.org/content/31/4/614.long
dc.relation	info:eu-repo/grantAgreement/EC/FP7/327899/EU/Exploring the evolution of protein-protein interactions and their networks using biophysical models/EEPPIBM
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject	Protein-protein interactions
dc.subject	Protein–protein interactions
dc.subject	Amino acid sequence
dc.subject	Proteïnes--Enginyeria genètica
dc.title	Comment on ‘protein–protein binding affinity prediction from amino acid sequence
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	Predicting the strength of interactions between globular proteins is a central and important topic in structural bioinformatics (Moal et al., 2013). The amino acid sequence represents the chemical bonding in a protein which, along with the solvent, dictates how it folds into an ensemble of thermally accessible states. In turn, structure specifies the strength and identity of its binding partners, by establishing the specific arrangements of intermolecular interactions and the intramolecular strain required to achieve them.
dc.description.abstract	IHM received funding from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement PIEF-GA-2012-327899.
dc.description.abstract	Peer Reviewed

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