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OWSum: algorithmic odor prediction and insight into structure-odor relationships
We derived and implemented a linear classification algorithm for the prediction of a molecule’s odor, called Olfactory Weighted Sum (OWSum). Our approach relies solely on structural patterns of the molecules as features for algorithmic treatment and uses conditional probabilities combined with tf-id...
Autores principales: | Schicker, Doris, Singh, Satnam, Freiherr, Jessica, Grasskamp, Andreas T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164323/ https://www.ncbi.nlm.nih.gov/pubmed/37150811 http://dx.doi.org/10.1186/s13321-023-00722-y |
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