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Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays

AIM: Providing compound data sets for promiscuity analysis with single-target (ST) and multi-target (MT) activity, taking confirmed inactivity against targets into account. METHODOLOGY: Compounds and target annotations are extracted from screening assays. For a given combination of targets, MT and S...

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Detalles Bibliográficos
Autores principales: Feldmann, Christian, Yonchev, Dimitar, Bajorath, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147869/
https://www.ncbi.nlm.nih.gov/pubmed/34046190
http://dx.doi.org/10.2144/fsoa-2020-0209
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author Feldmann, Christian
Yonchev, Dimitar
Bajorath, Jürgen
author_facet Feldmann, Christian
Yonchev, Dimitar
Bajorath, Jürgen
author_sort Feldmann, Christian
collection PubMed
description AIM: Providing compound data sets for promiscuity analysis with single-target (ST) and multi-target (MT) activity, taking confirmed inactivity against targets into account. METHODOLOGY: Compounds and target annotations are extracted from screening assays. For a given combination of targets, MT and ST compounds are identified, ensuring test data completeness. EXEMPLARY RESULTS & DATA: A total of 1242 MT compounds active against five or more targets and 6629 corresponding ST compounds are characterized, organized and made freely available. LIMITATIONS & NEXT STEPS: Screening campaigns typically cover a smaller target space than compounds from the medicinal chemistry literature and their activity annotations might be of lesser quality. Reported compound groups will be subjected to target set-based promiscuity analysis and predictions.
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spelling pubmed-81478692021-05-26 Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays Feldmann, Christian Yonchev, Dimitar Bajorath, Jürgen Future Sci OA Data Note AIM: Providing compound data sets for promiscuity analysis with single-target (ST) and multi-target (MT) activity, taking confirmed inactivity against targets into account. METHODOLOGY: Compounds and target annotations are extracted from screening assays. For a given combination of targets, MT and ST compounds are identified, ensuring test data completeness. EXEMPLARY RESULTS & DATA: A total of 1242 MT compounds active against five or more targets and 6629 corresponding ST compounds are characterized, organized and made freely available. LIMITATIONS & NEXT STEPS: Screening campaigns typically cover a smaller target space than compounds from the medicinal chemistry literature and their activity annotations might be of lesser quality. Reported compound groups will be subjected to target set-based promiscuity analysis and predictions. Future Science Ltd 2021-03-11 /pmc/articles/PMC8147869/ /pubmed/34046190 http://dx.doi.org/10.2144/fsoa-2020-0209 Text en © 2021 Jürgen Bajorath https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Data Note
Feldmann, Christian
Yonchev, Dimitar
Bajorath, Jürgen
Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
title Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
title_full Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
title_fullStr Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
title_full_unstemmed Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
title_short Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
title_sort structured data sets of compounds with multi-target and corresponding single-target activity from biological assays
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147869/
https://www.ncbi.nlm.nih.gov/pubmed/34046190
http://dx.doi.org/10.2144/fsoa-2020-0209
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