<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>7</volume><submitter>Song J</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Results&lt;/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 </pubmed_abstract><journal>BMC bioinformatics</journal><pagination>124</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC1450308</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information.</pubmed_title><pmcid>PMC1450308</pmcid><pubmed_authors>Burrage K</pubmed_authors><pubmed_authors>Huber T</pubmed_authors><pubmed_authors>Song J</pubmed_authors><pubmed_authors>Yuan Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Results&lt;/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 </description><dates><release>2006-01-01T00:00:00Z</release><publication>2006 Mar</publication><modification>2025-04-19T15:47:50.118Z</modification><creation>2019-03-27T01:26:22Z</creation></dates><accession>S-EPMC1450308</accession><cross_references><pubmed>16526956</pubmed><doi>10.1186/1471-2105-7-124</doi></cross_references></HashMap>