2.50
Hdl Handle:
http://hdl.handle.net/10033/621283
Title:
Target identification by image analysis.
Authors:
Fetz, V; Prochnow, H; Brönstrup, Mark ( 0000-0002-8971-7045 ) ; Sasse, F
Abstract:
Covering: 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.
Affiliation:
Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Citation:
Target identification by image analysis. 2016, 33 (5):655-67 Nat Prod Rep
Journal:
Natural product reports
Issue Date:
2016
URI:
http://hdl.handle.net/10033/621283
DOI:
10.1039/c5np00113g
PubMed ID:
26777141
Type:
Article
Language:
en
ISSN:
1460-4752
Appears in Collections:
Publications of the research group Chemical Biology (CBIO)

Full metadata record

DC FieldValue Language
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.en
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

Related articles on PubMed

This item is licensed under a Creative Commons License
Creative Commons
All Items in HZI are protected by copyright, with all rights reserved, unless otherwise indicated.