A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment |
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| Authors: | Kaur Harpreet Raghava G P S |
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| Institution: | Institute of Microbial Technology, Sector 39A, Chandigarh, India. |
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| Abstract: | In the present study, an attempt has been made to develop a method for predicting gamma-turns in proteins. First, we have implemented the commonly used statistical and machine-learning techniques in the field of protein structure prediction, for the prediction of gamma-turns. All the methods have been trained and tested on a set of 320 nonhomologous protein chains by a fivefold cross-validation technique. It has been observed that the performance of all methods is very poor, having a Matthew's Correlation Coefficient (MCC)
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| Keywords: | γ-Turns prediction neural networks Weka classifiers statistical multiple alignment secondary structure Web server |
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