Tool stats & trends
Looking to identify usage trends or leading experts?
|Interface||Web user interface|
|Restrictions to use||None|
|Input data||Protein sequences|
- person_outline Guo L.
Publication for nDNA-Prot
Predicting Variation of DNA Shape Preferences in Protein DNA Interaction in Cancer Cells with a New Biophysical Model
[…] the development of many approximate models to compute TF–DNA binding affinity. There are models that aim at identifying proteins that may bind to DNA based on the protein amino acid sequences (e.g., nDNA-Prot ) or models that focus on the prediction of protein target sites (e.g., BayesPI2 ). The latter ones are useful in identifying functional TF binding sites, predicting the effects of mutat […]
Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
[…] on spots by fusing different modes of pseudo K-tuple nucleotide composition and mode of dinucleotide-based auto-cross covariance. Song et al.  employed an ensemble classifier using a new predictor (nDNA-Prot) to obtain the protein structure and identify DNA-binding proteins. The identification was conducted using a feature that selected the minimum Redundancy and Maximum Relevance (mRMR). Wang e […]
An information based network approach for protein classification
[…] for support vector machines that has gained wide popularity in machine learning and many other areas . LibD3C is an ensemble classifier which is based on clustering and parallel implementation . nDNA-Prot proposed in , is a new predictor to accurately identify DNA-binding proteins when combines with an ensemble classifier. Also, an improved protein structural classes predictor is proposed i […]
DNABP: Identification of DNA Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues
[…] ind of amino acid and physicochemical properties as input features. We used the Testset to evaluate our DNABP in comparison with the other three methods mentioned above. enDNA-Port, iDNA-Prot|dis and nDNA-Prot could predict DNA-binding proteins on the web server; therefore, the Testset was submitted to those three web servers for prediction. As shown in , the enDNA-Port achieved an MCC of 0.183 wi […]
Looking to check out a full list of citations?
Be the first to review nDNA-Prot