Oxypred: Prediction and Classification of Oxygen-Binding Proteins
This study describes a method for predicting and classifying oxygen-binding proteins. Firstly, support vector machine (SVM) modules were developed using amino acid composition and dipeptide composition for predicting oxygen-binding proteins, and achieved maximum accuracy of 85.5% and 87.8%, respecti...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Elsevier
2007
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054225/ |