DATA MINING FOR DRUG DISCOVERY
| dc.contributor.author | Dhanapalan, P. | |
| dc.contributor.author | Sujatha, P.L. | |
| dc.contributor.author | Devendran, P. | |
| dc.contributor.author | TANUVAS | |
| dc.date.accessioned | 2018-07-25T10:02:13Z | |
| dc.date.available | 2018-07-25T10:02:13Z | |
| dc.date.issued | 2009-09 | |
| dc.description.abstract | Data mining sifts through huge amounts of information and extracts previously unrealised information about molecular compounds, product portfolio, clinical studies, and customer information that can be applied to accelerate drug discovery and development. For example, you could match desirable biochemical speciļ¬cations with disease. and patient characteristics, and select compounds with the highest probability of a favourable safety and efficacy profile. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810061974 | |
| dc.keywords | Veterinary Science, Bioinfromatics | en_US |
| dc.language.iso | en_US | en_US |
| dc.pages | 196-200 | en_US |
| dc.publisher | TANUVAS, Chennai | en_US |
| dc.subject | Veterinary Science | en_US |
| dc.subject | Animal Biotechnology | en_US |
| dc.title | DATA MINING FOR DRUG DISCOVERY | en_US |
| dc.title.alternative | Bioinformatics and its Applications in Animal Health and Veterinary Research - September 2009 | en_US |
| dc.type | Book chapter | en_US |
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