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Benchmarks for interpretation of QSAR models

Interpretation of QSAR models is useful to understand the complex nature of biological or physicochemical processes, guide structural optimization or perform knowledge-based validation of QSAR models. Highly predictive models are usually complex and their interpretation is non-trivial. This is parti...

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Detalles Bibliográficos
Autores principales: Matveieva, Mariia, Polishchuk, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157407/
https://www.ncbi.nlm.nih.gov/pubmed/34039411
http://dx.doi.org/10.1186/s13321-021-00519-x

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