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DC Field | Value | Language |
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dc.contributor.author | Dutta, Sumita | - |
dc.contributor.author | Rout, Chittaranjan [Guided by] | - |
dc.date.accessioned | 2022-09-22T10:04:57Z | - |
dc.date.available | 2022-09-22T10:04:57Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6379 | - |
dc.description.abstract | Therapeutic efficacy of a drug depends on the solubility of the core compound. According to IUPAC, solubility refers to the proportion of a chosen substance in designated solvent. The dissolution of a drug compound is dependent on its structure and solution conditions. Structure of a molecule decides crystal properties ,mostly physicochemical , which determine aqueous solubility[1]. Mixes with poor dissolution convey a higher risk of failure during discovery and development since inadequate dissolvability might trade off alternative property measures, veil additional unwanted properties, impact each pharamacological approach of the compound, and lastly might influence production capability of the compound. Potential difficulties rising from poor solubility: - cut-back target specificity | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Solubilisation process | en_US |
dc.subject | Datawarrior | en_US |
dc.subject | Scatter Plot | en_US |
dc.subject | Regression Output | en_US |
dc.title | Correlating Activity of Drugs With Low Solubility Using Qsar and Qspr Models | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Correlating Activity of Drugs with Low Solubility Using QSAR and QSPR Models.pdf | 1.44 MB | Adobe PDF | View/Open |
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