Prediction of Drug Indications Based on Chemical Interactions and Chemical Similarities
Joint Authors
Zheng, Mingyue
Lu, Yin
Lu, Changhong
Huang, Guohua
Cai, Yu-Dong
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Discovering potential indications of novel or approved drugs is a key step in drug development.
Previous computational approaches could be categorized into disease-centric and drug-centric based on the starting point of the issues or small-scaled application and large-scale application according to the diversity of the datasets.
Here, a classifier has been constructed to predict the indications of a drug based on the assumption that interactive/associated drugs or drugs with similar structures are more likely to target the same diseases using a large drug indication dataset.
To examine the classifier, it was conducted on a dataset with 1,573 drugs retrieved from Comprehensive Medicinal Chemistry database for five times, evaluated by 5-fold cross-validation, yielding five 1st order prediction accuracies that were all approximately 51.48%.
Meanwhile, the model yielded an accuracy rate of 50.00% for the 1st order prediction by independent test on a dataset with 32 other drugs in which drug repositioning has been confirmed.
Interestingly, some clinically repurposed drug indications that were not included in the datasets are successfully identified by our method.
These results suggest that our method may become a useful tool to associate novel molecules with new indications or alternative indications with existing drugs.
American Psychological Association (APA)
Huang, Guohua& Lu, Yin& Lu, Changhong& Zheng, Mingyue& Cai, Yu-Dong. 2015. Prediction of Drug Indications Based on Chemical Interactions and Chemical Similarities. BioMed Research International،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1056012
Modern Language Association (MLA)
Huang, Guohua…[et al.]. Prediction of Drug Indications Based on Chemical Interactions and Chemical Similarities. BioMed Research International No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1056012
American Medical Association (AMA)
Huang, Guohua& Lu, Yin& Lu, Changhong& Zheng, Mingyue& Cai, Yu-Dong. Prediction of Drug Indications Based on Chemical Interactions and Chemical Similarities. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1056012
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056012