DeepPPI specifications
- Unique identifier:
- OMICS_18602
- Software type:
- Framework/Library
- Restrictions to use:
- None
- Programming languages:
- Python
- Stability:
- Stable
- Maintained:
- Yes
- Name:
- Deep neural networks for Protein-Protein Interactions
- Interface:
- Command line interface
- Operating system:
- Unix/Linux
- Computer skills:
- Advanced
- Requirements:
- numpy, scipy, HDF5, h5py, scikit-learn, theano, keras
versioning
No versioning.
DeepPPI distribution
download
DeepPPI support
Maintainer
- Xiuquan Du <>
forum
I am trying to use the tool but the problem i face is that things are bit complex as i m new to Deep learning methods. First thing i would like to know in the paper author have described the feature extraction method but it would be better if they have provided the script that used by them to extract the features of the sequences.
2. Authors would have made simple for other users if they have given a script where person can just give their own training set , test set and final predictions will come. All the people don't have here deeper knowledge of Deep learning.
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Credits
Publications
-
(Du et al., 2017)
DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks.
J Chem Inf Model.
DOI: 10.1021/acs.jcim.7b00028
Institution(s)
Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Hefei, China; School of Computer Science and Technology, Anhui University, Hefei, China; Center of Information Support & Assurance Technology, Hefei, China
Funding source(s)
Supported by grants from the National Science Foundation of China (61203290 and 61673020), the Outstanding Young Backbone Teachers Training (02303301), Provincial Natural Science Research Program of Higher Education Institutions of Anhui province (KJ2016A016) and Anhui Provincial Natural Science Foundation (1708085QF143).
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