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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-8147869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Future Science Ltd |
record_format | MEDLINE/PubMed |
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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