Please use this identifier to cite or link to this item:
https://doi.org/10.2174/157018006776286970
DC Field | Value | |
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dc.title | Increasing the odds of drug hit identification by screening against receptor homologs? | |
dc.contributor.author | Ji, Z.L. | |
dc.contributor.author | Li, Z.R. | |
dc.contributor.author | Wang, J.F. | |
dc.contributor.author | Cai, C.Z. | |
dc.contributor.author | Han, L.Y. | |
dc.contributor.author | Zheng, C.J. | |
dc.contributor.author | Chen, Y.Z. | |
dc.date.accessioned | 2014-05-19T02:57:22Z | |
dc.date.available | 2014-05-19T02:57:22Z | |
dc.date.issued | 2006-04 | |
dc.identifier.citation | Ji, Z.L., Li, Z.R., Wang, J.F., Cai, C.Z., Han, L.Y., Zheng, C.J., Chen, Y.Z. (2006-04). Increasing the odds of drug hit identification by screening against receptor homologs?. Letters in Drug Design and Discovery 3 (3) : 200-204. ScholarBank@NUS Repository. https://doi.org/10.2174/157018006776286970 | |
dc.identifier.issn | 15701808 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/53345 | |
dc.description.abstract | The odds of drug hit identification in screening are closely related to the diversity of libraries or the availability of focused libraries. There are no truly diverse libraries and it is difficult to design focused libraries without sufficient information. Hence alternative approaches need to be explored for enhancing the odds of hit discovery from existing libraries. Protein homologs have been used collectively targeted in inhibitor design and other discovery applications by exploiting the correlation between protein homologs and their ligands from specific compound classes. A receptor-homolog-based screening scheme may be derived as a strategy to potentially increase the odds of hit identification. © 2006 Bentham Science Publishers Ltd. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2174/157018006776286970 | |
dc.source | Scopus | |
dc.subject | Drug design | |
dc.subject | Drug discovery | |
dc.subject | High throughput screening | |
dc.subject | Homologs | |
dc.subject | Virtual screening | |
dc.type | Review | |
dc.contributor.department | COMPUTATIONAL SCIENCE | |
dc.contributor.department | PHARMACY | |
dc.description.doi | 10.2174/157018006776286970 | |
dc.description.sourcetitle | Letters in Drug Design and Discovery | |
dc.description.volume | 3 | |
dc.description.issue | 3 | |
dc.description.page | 200-204 | |
dc.identifier.isiut | 000238048100011 | |
Appears in Collections: | Staff Publications |
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