DeepB3Pred_source_code

DeepB3Pred###DeepB3Pred uses the following dependencies:MATLAB2018a python 3.10 numpy scipy *pandas scikit-learn catboost= 1.1.1 gc_forset *xgboost-1.5.0 tensorflow=1.15.0 Keras=2.1.6###Guiding principles:**The data contains training dataset and testing dataset. Training dataset TR_BB.fasta includes BBB_pos and BBB_neg training samples. Testing dataset TS_BB includes BBB_pos and BBB_neg testing samples**Feature_Extraction: CPSR is the implementation of component protein sequence representation. mctd is the implementation of composition-transition and distribution, GSFE is the implementation of Graphical and statistical-based feature engineering.** Classifier: DeepB3Pred.py is the implementation of proposed method to predict B3PPs and non-B3PPs.