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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2019
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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 |
Sumario: | 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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