A Novel Method for Drug Repositioning Based on Heterogeneous Network
Nisha T P1, Linda Sara Mathew2
1Nish T P*, Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India.
2Linda Sara Mathew, Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India.
Manuscript received on January 06, 2021. | Revised Manuscript received on January 23, 2021. | Manuscript published on January 30, 2021. | PP: 186-190 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5206019521 | DOI: 10.35940/ijrte.E5206.019521
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Abstract: Drug repositioning is a compelling technique to find new signs for existing medications. Despite the fact that few exploration have attempted to improve the precision of repositioning by joining information from more than one assets and various levels, it is as yet appealing to additionally review how to effectively abuse significant information for drug repositioning. As contrasted and the customary medication improvement from particle to item, drug repositioning is additional time and worth effective, quickening drug revelation technique. Medication repositioning methods might be ordered as both sicknesses based or drug-based. In this study at, propose an effective strategy, by means of utilizing Adverse Drug Reactions (ADRs) in light of the fact that the middle of the road, a heterogeneous wellbeing network containing drugs, infections, proteins and ADRs is constructed. The repositioning procedure dependent on ADR is equipped for profiling drugs related phenotypic information and can accordingly aid the resulting drugs utilize the disclosure of new recuperating.
Keywords: Adverse drug reaction, Drug repositioning, Heterogeneous network mining, Link prediction, Phenotype