Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: O-glycosylation is one of the most important, frequent and complex post-translational modifications. This modification can activate and affect protein functions. Here,  present three support vector machines models based on physical properties, 0/1 system, and the system combining the above two features. The prediction accuracies of the three models have reached 0.82, 0.85 and 0.85, respectively. The accuracies of the three SVMs methods re evaluated by 'leave-one-out' cross validation. This approach provides a useful tool to help identify the O-glycosylation sites in mammalian proteins. An online prediction b server is available at http://www.biosino.org/Oglyc.
['Su-Jun Li', 'Boshu Liu', 'Rong Zeng', 'Yu-Dong Cai', 'Yixue Li']
I am writing a research paper on a idea Predicting O-glycosylation sites in mammalian proteins by using SVMs
[{"from": "human", "value": "I am writing a research paper on a idea Predicting O-glycosylation sites in mammalian proteins by using SVMs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: O-glycosylation is one of the most important, frequent and complex post-translational modifications. This modification can activate and affect protein functions. Here,  present three support vector machines models based on physical properties, 0/1 system, and the system combining the above two features. The prediction accuracies of the three models have reached 0.82, 0.85 and 0.85, respectively. The accuracies of the three SVMs methods re evaluated by 'leave-one-out' cross validation. This approach provides a useful tool to help identify the O-glycosylation sites in mammalian proteins. An online prediction b server is available at http://www.biosino.org/Oglyc."}]