Published November 7, 2022
| Version 1
Dataset
Open
Predictive modeling of moonlighting DNA-binding proteins
Authors/Creators
- 1. School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India
- 2. Computational Structural Biology Section, Cancer Innovation Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA, Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Israel
Contributors
Researcher:
- 1. School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India
Description
This repository contains the codes used for the prediction of moonlighting proteins in the paper "Predictive modeling of moonlighting DNA binding proteins".
The repository is organized as the following:
1. The DNA binding protein identifiers and their features that were used to train the models for the prediction of DNA binding Moonlighting proteins.
2. Five feature sets were used to create Catboost models that make predictions. The source code for generating predictions based on all the features and predictions based on particular features is supplied. In addition, the source code for generating maximum and average ensemble predictions has been made available. A detailed explanation is given in README file.
Files
README.md
Files
(4.7 MB)
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