biostudies-literaturePalazzotti DFondazione Umberto VeronesiMinistero dell'Universit? e della Ricerca6309-6315https://www.ebi.ac.uk/biostudies/studies/S-EPMC9795488biostudies-literatureUnknown62(24)The recent increase of bioactivity data freely available to the scientific community and stored as activity data points in chemogenomic repositories provides a huge amount of ready-to-use information to support the development of predictive models. However, the benefits provided by the availability of such a vast amount of accessible information are strongly counteracted by the lack of uniformity and consistency of data from multiple sources, requiring a process of integration and harmonization. While different automated pipelines for processing and assessing chemical data have emerged in the last years, the curation of bioactivity data points is a less investigated topic, with useful concepts provided but no tangible tools available. In this context, the present work represents a first step toward the filling of this gap, by providing a tool to meet the needs of end-user in building proprietary high-quality data sets for further studies. Specifically, we herein describe Q-raKtion, a systematic, semiautomated, flexible, and, above all, customizable KNIME workflow that effectively aggregates information on biological activities of compounds retrieved by two of the most comprehensive and widely used repositories, PubChem and ChEMBL.Journal of chemical information and modelingQ-raKtion: A Semiautomated KNIME Workflow for Bioactivity Data Points Curation.PMC979548823-G-15435-1Astolfi ABarreca MLFiorelli MSabatini SMassari SPalazzotti DfalseQ-raKtion: A Semiautomated KNIME Workflow for Bioactivity Data Points Curation.The recent increase of bioactivity data freely available to the scientific community and stored as activity data points in chemogenomic repositories provides a huge amount of ready-to-use information to support the development of predictive models. However, the benefits provided by the availability of such a vast amount of accessible information are strongly counteracted by the lack of uniformity and consistency of data from multiple sources, requiring a process of integration and harmonization. While different automated pipelines for processing and assessing chemical data have emerged in the last years, the curation of bioactivity data points is a less investigated topic, with useful concepts provided but no tangible tools available. In this context, the present work represents a first step toward the filling of this gap, by providing a tool to meet the needs of end-user in building proprietary high-quality data sets for further studies. Specifically, we herein describe Q-raKtion, a systematic, semiautomated, flexible, and, above all, customizable KNIME workflow that effectively aggregates information on biological activities of compounds retrieved by two of the most comprehensive and widely used repositories, PubChem and ChEMBL.2022-01-01T00:00:00Z2022 Dec2025-04-04T03:10:38.606Z2025-04-04T03:10:38.606ZS-EPMC97954883644207110.1021/acs.jcim.2c01199