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• W1805963362 startingPage "910" @default.
• W1805963362 abstract "Numerous studies have been performed for analysis and prediction of β-turns in a protein. This study focuses on analyzing, predicting, and designing of β-turns to understand the preference of amino acids in β-turn formation. We analyzed around 20,000 PDB chains to understand the preference of residues or pair of residues at different positions in β-turns. Based on the results, a propensity-based method has been developed for predicting β-turns with an accuracy of 82%. We introduced a new approach entitled Turn level prediction method, which predicts the complete β-turn rather than focusing on the residues in a β-turn. Finally, we developed BetaTPred3, a Random forest based method for predicting β-turns by utilizing various features of four residues present in β-turns. The BetaTPred3 achieved an accuracy of 79% with 0.51 MCC that is comparable or better than existing methods on BT426 dataset. Additionally, models were developed to predict β-turn types with better performance than other methods available in the literature. In order to improve the quality of prediction of turns, we developed prediction models on a large and latest dataset of 6376 nonredundant protein chains. Based on this study, a web server has been developed for prediction of β-turns and their types in proteins. This web server also predicts minimum number of mutations required to initiate or break a β-turn in a protein at specified location of a protein." @default.
• W1805963362 created "2016-06-24" @default.
• W1805963362 creator A5022686871 @default.
• W1805963362 creator A5051938893 @default.
• W1805963362 creator A5068584095 @default.
• W1805963362 date "2015-03-25" @default.
• W1805963362 modified "2023-09-27" @default.
• W1805963362 title "<i>In silico</i> platform for predicting and initiating β-turns in a protein at desired locations" @default.
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• W1805963362 doi "https://doi.org/10.1002/prot.24783" @default.
• W1805963362 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25728793" @default.
• W1805963362 hasPublicationYear "2015" @default.
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