DPPI

Codes for paper "Identification of All-to-all Protein-protein Interactions Based on Deep Hash Learning" by Yue Jiang, Yuxuan Wang, Lin Shen, Donald Adjeroh, Zhidong Liu and Jie Lin, which is submitted to BMC Bioinformatics

required installed softwares(running environment):

1. python 3.6
2. Tensorflow 2.0

Usage：

Training

python train.py [dataset]

Note:

1. The dataset can be one member data of four species: C.elegan, Drosophila, E.coli,or Human
2. After training, the output model will be stored in the current folder: DPPI_Model/[dataset]

Predicting

python predict.py [dataset]

Note:

1. The output predicted result file named test.txt is stored under the current folder: PPIdata/[dataset]

Comment

1. These codes are developed on the base of the work: Elabd H, Bromberg Y, Hoarfrost A, Lenz T, Wendorff M. Amino acid encoding for deep learning applications .BMC Bioinformatics. 2020;21(1):1–14.