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Prediction of α-turns in proteins using PSI-BLAST profiles and secondary structure information
2004
Proteins: Structure, Function, and Bioinformatics
In this paper a systematic attempt has been made to develop a better method for predicting ␣-turns in proteins. Most of the commonly used approaches in the field of protein structure prediction have been tried in this study, which includes statistical approach "Sequence Coupled Model" and machine learning approaches; i) artificial neural network (ANN); ii) Weka (Waikato Environment for Knowledge Analysis) Classifiers and iii) Parallel Exemplar Based Learning (PEBLS). We have also used multiple
doi:10.1002/prot.10569
pmid:14997542
fatcat:xolcpc2uwrduzg2katksrdox4y