Prediction of chimeric protein fold

dc.contributor.author	Acuna, R	en
dc.contributor.author	Lacroix, Z	en
dc.contributor.author	Hadji, F	en
dc.contributor.author	Chomilier, J	en
dc.contributor.author	Papandreou, N	en
dc.date.accessioned	2014-06-06T06:51:59Z
dc.date.available	2014-06-06T06:51:59Z
dc.date.issued	2012	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/5803
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84861983632&partnerID=40&md5=5056aee8c32ae188b993f26482ceefe3	en
dc.subject	Chimeric proteins	en
dc.subject	Folding	en
dc.subject	Fusion proteins	en
dc.subject	MIR	en
dc.subject	Prediction	en
dc.subject	Simulation	en
dc.subject.other	Chimeric proteins	en
dc.subject.other	Folding	en
dc.subject.other	Fusion proteins	en
dc.subject.other	MIR	en
dc.subject.other	Simulation	en
dc.subject.other	Algorithms	en
dc.subject.other	Amino acids	en
dc.subject.other	Forecasting	en
dc.subject.other	Genes	en
dc.subject.other	Mathematical models	en
dc.subject.other	Protein folding	en
dc.subject.other	Proteins	en
dc.subject.other	Statistical tests	en
dc.subject.other	Bioinformatics	en
dc.title	Prediction of chimeric protein fold	en
heal.type	conferenceItem	en
heal.publicationDate	2012	en
heal.abstract	We propose two computational methods for predicting if a protein produced by fusion of genes will conserve the structures of the fused proteins. We use two complementary paths for prediction. The former is a simulation from the sequence while the latter exploits its expected structure. Early stages of protein folding are simulated from their amino acid sequence by capturing the most interacting residues (MIR). Individual domain structures (or models) are superposed onto the predicted complex structure (or model). When no structure exists, a model is calculated using a set of ab initio and fold recognition tools. These results are used to predict the validity of the chimeric protein. We test the two methods against a dataset of 10 proteins.	en
heal.journalName	BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms	en
dc.identifier.spage	234	en
dc.identifier.epage	239	en