BPR Based Drug Groups and Drug Interaction Extraction
Akhila Mohan1, Linda Sara Mathew2
1Akhila Mohan, Computer Science and Engineering, MA College of Engineering, Kothamangalam, India.
2Linda Sara Mathew, Computer Science and Engineering, MA College of Engineering, Kothamangalam, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5379-5284 | Volume-8 Issue-6, March 2020. | Retrieval Number: E7033018520/2020©BEIESP | DOI: 10.35940/ijrte.E7033.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The key step of drug discovery is the identification of interaction between drug and target proteins. This isn’t just valuable to understand the disease, but also assist to distinguishing antagonistic symptoms of drugs. So, in drug repurposing  field the drug-target interaction (DTI) prediction is an essential tool. There are various methods to decipher unknown drug-target interaction , this is helped in the area of identifying the lead compound in the drug for a specific disease. In this paper proposes drug-target interaction extraction using Bayesian Personalized Ranking (BPR) method . Here it is also solving the ranking problem by the implementation of matrix factorization method . The proposed procedure can manage the occasion of new drugs and takes compound and hereditary resemblances of meds and targets and target tendency into account. .
Keywords: Drug discovery, BPR, drug repurposing, DTI, drug – centric.
Scope of the Article: Data Management.