Drug Discovery in Chemoinformatics Using Adaptive Neuro-Fuzzy Inference System
| Author(s) | : | Kirti Kumari Dixit, Dr. Hitesh B. Shah |
| Institution | : | Information Technology, G.H.Patel College of Engineering |
| Published In | : | Vol. 1, Issue 6 — June 2014 |
| Page No. | : | 174-179 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
—Drug Discovery is one of the Stages of the Drug Development. It is a major area ofapplication of Chemoinformatics principle. Drug Discovery deals with identifying potentialcompounds that are drugs from the large chemical space. These Drugs should have relevant featuresor characteristics to deal with the disease. Drug Discovery is consuming task in the development ofDrug. The number of Drugs that are identified today is less as compared to the rate of unknowndisease in today’s life. Machine Learning Techniques are well known for their supremacy in the areaof Classification, Regression, Pattern Recognition, etc problems. In this paper we have tried toenhance the process of Drug Discovery using Machine learning techniques like Neural Network andat the end comparison has been done with a neuro-fuzzy classifier, ANFIS, whose results areremarkably better than the former.
Kirti Kumari Dixit, Dr. Hitesh B. Shah, “Drug Discovery in Chemoinformatics Using Adaptive Neuro-Fuzzy Inference System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 6, pp. 174-179, June 2014.
