Quantifying Biogenic Bias in Screening Libraries

In lead discovery, libraries of 10(6) molecules are screened for biological activity. Given the over 10(60) drug-like molecules thought possible, such screens might never succeed. That they do, even occasionally, implies a biased selection of library molecules. Here a method is developed to quantify...

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Detalles Bibliográficos
Autores principales: Hert, Jérôme, Irwin, John J., Laggner, Christian, Keiser, Michael J., Shoichet, Brian K.
Formato: Texto
Lenguaje:English
Publicado: 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2783405/
https://www.ncbi.nlm.nih.gov/pubmed/19483698
http://dx.doi.org/10.1038/nchembio.180
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author Hert, Jérôme
Irwin, John J.
Laggner, Christian
Keiser, Michael J.
Shoichet, Brian K.
author_facet Hert, Jérôme
Irwin, John J.
Laggner, Christian
Keiser, Michael J.
Shoichet, Brian K.
author_sort Hert, Jérôme
collection PubMed
description In lead discovery, libraries of 10(6) molecules are screened for biological activity. Given the over 10(60) drug-like molecules thought possible, such screens might never succeed. That they do, even occasionally, implies a biased selection of library molecules. Here a method is developed to quantify the bias in screening libraries towards biogenic molecules. With this approach, we consider what is missing from screening libraries and how they can be optimized.
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spelling pubmed-27834052010-01-01 Quantifying Biogenic Bias in Screening Libraries Hert, Jérôme Irwin, John J. Laggner, Christian Keiser, Michael J. Shoichet, Brian K. Nat Chem Biol Article In lead discovery, libraries of 10(6) molecules are screened for biological activity. Given the over 10(60) drug-like molecules thought possible, such screens might never succeed. That they do, even occasionally, implies a biased selection of library molecules. Here a method is developed to quantify the bias in screening libraries towards biogenic molecules. With this approach, we consider what is missing from screening libraries and how they can be optimized. 2009-05-31 2009-07 /pmc/articles/PMC2783405/ /pubmed/19483698 http://dx.doi.org/10.1038/nchembio.180 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download 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
Hert, Jérôme
Irwin, John J.
Laggner, Christian
Keiser, Michael J.
Shoichet, Brian K.
Quantifying Biogenic Bias in Screening Libraries
title Quantifying Biogenic Bias in Screening Libraries
title_full Quantifying Biogenic Bias in Screening Libraries
title_fullStr Quantifying Biogenic Bias in Screening Libraries
title_full_unstemmed Quantifying Biogenic Bias in Screening Libraries
title_short Quantifying Biogenic Bias in Screening Libraries
title_sort quantifying biogenic bias in screening libraries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2783405/
https://www.ncbi.nlm.nih.gov/pubmed/19483698
http://dx.doi.org/10.1038/nchembio.180
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AT shoichetbriank quantifyingbiogenicbiasinscreeninglibraries

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