Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting
| Autor: | Fabian P. Steinmetz, Thierry Hanser, Friedrich Rippmann, Mireille Krier, Jeffrey Plante |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Quantitative structure–activity relationship
Computer science hERG Context (language use) Library and Information Sciences computer.software_genre lcsh:Chemistry Temporal study SOHN Machine learning Relevance (information retrieval) Physical and Theoretical Chemistry Expert system biology lcsh:T58.5-58.64 QSAR lcsh:Information technology Combining models Public–private data sharing Statistical model Computer Graphics and Computer-Aided Design Chemical space Computer Science Applications Drug development lcsh:QD1-999 biology.protein Data mining computer Research Article |
| Zdroj: | Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-13 (2019) Journal of Cheminformatics |
| ISSN: | 1758-2946 |
| Popis: | In this paper, we explore the impact of combining different in silico prediction approaches and data sources on the predictive performance of the resulting system. We use inhibition of the hERG ion channel target as the endpoint for this study as it constitutes a key safety concern in drug development and a potential cause of attrition. We will show that combining data sources can improve the relevance of the training set in regard of the target chemical space, leading to improved performance. Similarly we will demonstrate that combining multiple statistical models together, and with expert systems, can lead to positive synergistic effects when taking into account the confidence in the predictions of the merged systems. The best combinations analyzed display a good hERG predictivity. Finally, this work demonstrates the suitability of the SOHN methodology for building models in the context of receptor based endpoints like hERG inhibition when using the appropriate pharmacophoric descriptors. Electronic supplementary material The online version of this article (10.1186/s13321-019-0334-y) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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