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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...
Autores principales: | Matveieva, Mariia, Polishchuk, Pavel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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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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