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dc.contributor.authorFetz, Ven
dc.contributor.authorProchnow, Hen
dc.contributor.authorBrönstrup, Marken
dc.contributor.authorSasse, Fen
dc.date.accessioned2018-02-16T10:09:34Z
dc.date.available2018-02-16T10:09:34Z
dc.date.issued2016
dc.identifier.citationTarget identification by image analysis. 2016, 33 (5):655-67 Nat Prod Repen
dc.identifier.issn1460-4752
dc.identifier.pmid26777141
dc.identifier.doi10.1039/c5np00113g
dc.identifier.urihttp://hdl.handle.net/10033/621283
dc.description.abstractCovering: 1997 to the end of 2015Each biologically active compound induces phenotypic changes in target cells that are characteristic for its mode of action. These phenotypic alterations can be directly observed under the microscope or made visible by labelling structural elements or selected proteins of the cells with dyes. A comparison of the cellular phenotype induced by a compound of interest with the phenotypes of reference compounds with known cellular targets allows predicting its mode of action. While this approach has been successfully applied to the characterization of natural products based on a visual inspection of images, recent studies used automated microscopy and analysis software to increase speed and to reduce subjective interpretation. In this review, we give a general outline of the workflow for manual and automated image analysis, and we highlight natural products whose bacterial and eucaryotic targets could be identified through such approaches.
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subject.meshBiological Productsen
dc.subject.meshHumansen
dc.subject.meshMolecular Structureen
dc.subject.meshSoftwareen
dc.titleTarget identification by image analysis.en
dc.typeArticleen
dc.contributor.departmentHelmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.en
dc.identifier.journalNatural product reportsen
refterms.dateFOA2018-06-13T15:49:43Z
html.description.abstractCovering: 1997 to the end of 2015Each biologically active compound induces phenotypic changes in target cells that are characteristic for its mode of action. These phenotypic alterations can be directly observed under the microscope or made visible by labelling structural elements or selected proteins of the cells with dyes. A comparison of the cellular phenotype induced by a compound of interest with the phenotypes of reference compounds with known cellular targets allows predicting its mode of action. While this approach has been successfully applied to the characterization of natural products based on a visual inspection of images, recent studies used automated microscopy and analysis software to increase speed and to reduce subjective interpretation. In this review, we give a general outline of the workflow for manual and automated image analysis, and we highlight natural products whose bacterial and eucaryotic targets could be identified through such approaches.


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