Challenges in Secondary Analysis of High Throughput Screening Data
Repurposing an existing drug for an alternative use is not only a cost effective method of development, but also a faster process due to the drug's previous clinical testing and established pharmokinetic profiles. A potentially rich resource for computational drug repositioning approaches is pu...
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| Vydáno v: | Biocomputing 2014 s. 114 - 124 |
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| Hlavní autoři: | , |
| Médium: | Reference Kapitola Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
WORLD SCIENTIFIC
01.01.2014
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| Témata: | |
| ISBN: | 9789814583220, 9814583235, 9814596345, 9789814583237, 9789814596343, 9814583227 |
| ISSN: | 2335-6936, 2335-6936 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Repurposing an existing drug for an alternative use is not only a cost effective method of development, but also a faster process due to the drug's previous clinical testing and established pharmokinetic profiles. A potentially rich resource for computational drug repositioning approaches is publically available high throughput screening data, available in databases such as PubChem Bioassay and ChemBank. We examine statistical and computational considerations for secondary analysis of publicly available high throughput screening (HTS) data with respect to metadata, data quality, and completeness. We discuss developing methods and best practices that can help to ameliorate these issues. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISBN: | 9789814583220 9814583235 9814596345 9789814583237 9789814596343 9814583227 |
| ISSN: | 2335-6936 2335-6936 |
| DOI: | 10.1142/9789814583220_0012 |