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Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen

Target identification is a core challenge in chemical genetics. Here we use chemical similarity to predict computationally the targets of 586 compounds active in a zebrafish behavioral assay. Of 20 predictions tested, 11 had activities ranging from 1 to 10,000nM on the predicted targets. The role of...

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Autores principales: Laggner, Christian, Kokel, David, Setola, Vincent, Tolia, Alexandra, Lin, Henry, Irwin, John J., Keiser, Michael J., Cheung, Chung Yan J., Minor, Daniel L., Roth, Bryan L., Peterson, Randall T., Shoichet, Brian K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262069/
https://www.ncbi.nlm.nih.gov/pubmed/22179068
http://dx.doi.org/10.1038/nchembio.732
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author Laggner, Christian
Kokel, David
Setola, Vincent
Tolia, Alexandra
Lin, Henry
Irwin, John J.
Keiser, Michael J.
Cheung, Chung Yan J.
Minor, Daniel L.
Roth, Bryan L.
Peterson, Randall T.
Shoichet, Brian K.
author_facet Laggner, Christian
Kokel, David
Setola, Vincent
Tolia, Alexandra
Lin, Henry
Irwin, John J.
Keiser, Michael J.
Cheung, Chung Yan J.
Minor, Daniel L.
Roth, Bryan L.
Peterson, Randall T.
Shoichet, Brian K.
author_sort Laggner, Christian
collection PubMed
description Target identification is a core challenge in chemical genetics. Here we use chemical similarity to predict computationally the targets of 586 compounds active in a zebrafish behavioral assay. Of 20 predictions tested, 11 had activities ranging from 1 to 10,000nM on the predicted targets. The role of two of these targets was tested in the original zebrafish phenotype. Prediction of targets from chemotype is rapid and may be generally applicable.
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spelling pubmed-32620692012-08-01 Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen Laggner, Christian Kokel, David Setola, Vincent Tolia, Alexandra Lin, Henry Irwin, John J. Keiser, Michael J. Cheung, Chung Yan J. Minor, Daniel L. Roth, Bryan L. Peterson, Randall T. Shoichet, Brian K. Nat Chem Biol Article Target identification is a core challenge in chemical genetics. Here we use chemical similarity to predict computationally the targets of 586 compounds active in a zebrafish behavioral assay. Of 20 predictions tested, 11 had activities ranging from 1 to 10,000nM on the predicted targets. The role of two of these targets was tested in the original zebrafish phenotype. Prediction of targets from chemotype is rapid and may be generally applicable. 2011-12-18 /pmc/articles/PMC3262069/ /pubmed/22179068 http://dx.doi.org/10.1038/nchembio.732 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Laggner, Christian
Kokel, David
Setola, Vincent
Tolia, Alexandra
Lin, Henry
Irwin, John J.
Keiser, Michael J.
Cheung, Chung Yan J.
Minor, Daniel L.
Roth, Bryan L.
Peterson, Randall T.
Shoichet, Brian K.
Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen
title Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen
title_full Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen
title_fullStr Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen
title_full_unstemmed Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen
title_short Chemical Informatics and Target Identification in a Zebrafish Phenotypic Screen
title_sort chemical informatics and target identification in a zebrafish phenotypic screen
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262069/
https://www.ncbi.nlm.nih.gov/pubmed/22179068
http://dx.doi.org/10.1038/nchembio.732
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