Target identification by image analysis

Natural Product Reports
V FetzF Sasse

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.

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Citations

Jul 1, 2017·Journal of Chemical Information and Modeling·Guo-Bo LiSheng-Yong Yang
Jul 8, 2017·Nature Reviews. Drug Discovery·John G MoffatMarco Prunotto
Sep 1, 2017·Nature Methods·Juan C CaicedoAnne E Carpenter
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Jul 4, 2020·BMC Bioinformatics·Minhua QiuYingyao Zhou
Feb 27, 2020·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Zhao YinJia Fei
Mar 5, 2021·Journal of Chemical Information and Modeling·Maria-Anna TrapotsiAndreas Bender
Jul 23, 2021·NPJ Systems Biology and Applications·Godai SuzukiToutai Mitsuyama

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