Introduction

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)

Publications

  1. A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
    Cite this
    Kaur H, Raghava GP, 2003-05-01 - Protein science : a publication of the Protein Society

Credits

  1. Harpreet Kaur
    Developer

  2. G P S Raghava
    Investigator

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Summary
AccessionBT006324
Tool TypeApplication
Category
PlatformsLinux/Unix
Technologies
User InterfaceTerminal Command Line
Download Count0
Submitted ByG P S Raghava