{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7"],"submitter":["Song J"],"pubmed_abstract":["<h4>Background</h4>The majority of peptide bonds in proteins are found to occur in the trans conformation. However, for proline residues, a considerable fraction of Prolyl peptide bonds adopt the cis form. Proline cis/trans isomerization is known to play a critical role in protein folding, splicing, cell signaling and transmembrane active transport. Accurate prediction of proline cis/trans isomerization in proteins would have many important applications towards the understanding of protein structure and function.<h4>Results</h4>In this paper, we propose a new approach to predict the proline cis/trans isomerization in proteins using support vector machine (SVM). The preliminary results indicated that using Radial Basis Function (RBF) kernels could lead to better prediction performance than "],"journal":["BMC bioinformatics"],"pagination":["124"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC1450308"],"repository":["biostudies-literature"],"pubmed_title":["Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information."],"pmcid":["PMC1450308"],"pubmed_authors":["Burrage K","Huber T","Song J","Yuan Z"],"additional_accession":[]},"is_claimable":false,"name":"Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information.","description":"<h4>Background</h4>The majority of peptide bonds in proteins are found to occur in the trans conformation. However, for proline residues, a considerable fraction of Prolyl peptide bonds adopt the cis form. Proline cis/trans isomerization is known to play a critical role in protein folding, splicing, cell signaling and transmembrane active transport. Accurate prediction of proline cis/trans isomerization in proteins would have many important applications towards the understanding of protein structure and function.<h4>Results</h4>In this paper, we propose a new approach to predict the proline cis/trans isomerization in proteins using support vector machine (SVM). The preliminary results indicated that using Radial Basis Function (RBF) kernels could lead to better prediction performance than ","dates":{"release":"2006-01-01T00:00:00Z","publication":"2006 Mar","modification":"2025-04-19T15:47:50.118Z","creation":"2019-03-27T01:26:22Z"},"accession":"S-EPMC1450308","cross_references":{"pubmed":["16526956"],"doi":["10.1186/1471-2105-7-124"]}}