DNAbinder is a webserver developed for predicting DNA-binding proteins from their amino acid sequence using various compositional features of proteins. The SVM models have been developed on following datasets using following protein features.
Datasets: The SVM models were developed on Main dataset (having 146 DNA-binding protein chains and 250 non DNA-binding proteins), alternate dataset (1153 DNA-bindig proteins and 1153 non DNA-binding proteins) and on Realistic dataset (146 DNA-binding protein chains and 1500 non DNA-binding proteins).
Protein features: We developed two SVM models on each dataset using amino acid composition and evolutionary information.
- Composition based SVM model: This model has been developed using amino acid composition of proteins.
- PSSM based SVM model: This model has been developed using evolutionary information in form of PSSM profile obtained from PSI-BLAST search (three iterations with e-value cut-off 0.001) against nr database.