Prediction of drug-target interaction based on protein features using undersampling and feature selection techniques with boosting

Author:

Mahmud S.M. Hasan,Chen Wenyu,Meng Han,Jahan Hosney,Liu Yongsheng,Hasan S.M. Mamun

Funder

National Natural Science Foundation of China-Research on New Technology of Core Algorithm

Publisher

Elsevier BV

Subject

Cell Biology,Molecular Biology,Biochemistry,Biophysics

Reference78 articles.

1. In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences;Li;Sci. Rep.,2017

2. Drug-target interaction prediction via class imbalance-aware ensemble learning;Ezzat;BMC Bioinf.,2016

3. Predicting promiscuity;Hopkins;Nature,2009

4. DASPfind: new efficient method to predict drug-target interactions;Ba-Alawi;J. Cheminf.,2016

5. DrugBank 3.0: a comprehensive resource for “Omics” research on drugs;Knox;Nucleic Acids Res.,2011

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