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Systematic identification of target set-dependent activity cliffs

AIM: Generating a knowledge base of new activity cliffs (ACs) defined on the basis of compound set-dependent potency distributions, also taking confirmed inactive compounds into account. METHODOLOGY: Different AC definitions, representations and search criteria were rationalized and applied. DATA: F...

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Detalles Bibliográficos
Autores principales: Hu, Huabin, Stumpfe, Dagmar, Bajorath, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391634/
https://www.ncbi.nlm.nih.gov/pubmed/30828462
http://dx.doi.org/10.4155/fsoa-2018-0089
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author Hu, Huabin
Stumpfe, Dagmar
Bajorath, Jürgen
author_facet Hu, Huabin
Stumpfe, Dagmar
Bajorath, Jürgen
author_sort Hu, Huabin
collection PubMed
description AIM: Generating a knowledge base of new activity cliffs (ACs) defined on the basis of compound set-dependent potency distributions, also taking confirmed inactive compounds into account. METHODOLOGY: Different AC definitions, representations and search criteria were rationalized and applied. DATA: For nearly 100 different target proteins, for which medicinal chemistry and biological screening data were available, target set-dependent ACs were identified. More than 20,000 target set-dependent ACs and associated information are made freely available. LIMITATIONS & NEXT STEPS: As more compound data become available for new targets, the search for target set-dependent ACs, including confirmed inactive compounds will continue. Second-generation ACs will be subjected to systematic structure–activity relationship analysis.
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spelling pubmed-63916342019-03-01 Systematic identification of target set-dependent activity cliffs Hu, Huabin Stumpfe, Dagmar Bajorath, Jürgen Future Sci OA Data Note AIM: Generating a knowledge base of new activity cliffs (ACs) defined on the basis of compound set-dependent potency distributions, also taking confirmed inactive compounds into account. METHODOLOGY: Different AC definitions, representations and search criteria were rationalized and applied. DATA: For nearly 100 different target proteins, for which medicinal chemistry and biological screening data were available, target set-dependent ACs were identified. More than 20,000 target set-dependent ACs and associated information are made freely available. LIMITATIONS & NEXT STEPS: As more compound data become available for new targets, the search for target set-dependent ACs, including confirmed inactive compounds will continue. Second-generation ACs will be subjected to systematic structure–activity relationship analysis. Future Science Ltd 2019-01-18 /pmc/articles/PMC6391634/ /pubmed/30828462 http://dx.doi.org/10.4155/fsoa-2018-0089 Text en © 2019 Jürgen Bajorath This work is licensed under a Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Data Note
Hu, Huabin
Stumpfe, Dagmar
Bajorath, Jürgen
Systematic identification of target set-dependent activity cliffs
title Systematic identification of target set-dependent activity cliffs
title_full Systematic identification of target set-dependent activity cliffs
title_fullStr Systematic identification of target set-dependent activity cliffs
title_full_unstemmed Systematic identification of target set-dependent activity cliffs
title_short Systematic identification of target set-dependent activity cliffs
title_sort systematic identification of target set-dependent activity cliffs
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391634/
https://www.ncbi.nlm.nih.gov/pubmed/30828462
http://dx.doi.org/10.4155/fsoa-2018-0089
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