Please use this identifier to cite or link to this item: https://doi.org/10.1007/s11095-010-0065-2
DC FieldValue
dc.titleIn-silico approaches to multi-target drug discovery computer aided multi-target drug design, multi-target virtual screening
dc.contributor.authorMa, X.H.
dc.contributor.authorShi, Z.
dc.contributor.authorTan, C.
dc.contributor.authorJiang, Y.
dc.contributor.authorGo, M.L.
dc.contributor.authorLow, B.C.
dc.contributor.authorChen, Y.Z.
dc.date.accessioned2014-10-27T08:47:04Z
dc.date.available2014-10-27T08:47:04Z
dc.date.issued2010-05
dc.identifier.citationMa, X.H., Shi, Z., Tan, C., Jiang, Y., Go, M.L., Low, B.C., Chen, Y.Z. (2010-05). In-silico approaches to multi-target drug discovery computer aided multi-target drug design, multi-target virtual screening. Pharmaceutical Research 27 (5) : 739-749. ScholarBank@NUS Repository. https://doi.org/10.1007/s11095-010-0065-2
dc.identifier.issn07248741
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/102336
dc.description.abstractMulti-target drugs against selective multiple targets improve therapeutic efficacy, safety and resistance profiles by collective regulations of a primary therapeutic target together with compensatory elements and resistance activities. Efforts have been made to employ in-silico methods for facilitating the search and design of selective multi-target agents. These methods have shown promising potential in facilitating drug discovery directed at selective multiple targets. © 2010 Springer Science+Business Media, LLC.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s11095-010-0065-2
dc.sourceScopus
dc.subjectComputer aided dug design
dc.subjectMulti-target
dc.subjectMulti-target drug discovety
dc.subjectMultiple ligands
dc.subjectVirtual screening
dc.typeOthers
dc.contributor.departmentPHARMACY
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1007/s11095-010-0065-2
dc.description.sourcetitlePharmaceutical Research
dc.description.volume27
dc.description.issue5
dc.description.page739-749
dc.description.codenPHREE
dc.identifier.isiut000276512500002
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