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Machine learning prediction of UV–Vis spectra features of organic compounds related to photoreactive potential

Machine learning (ML) algorithms were explored for the classification of the UV–Vis absorption spectrum of organic molecules based on molecular descriptors and fingerprints generated from 2D chemical structures. Training and test data (~ 75 k molecules and associated UV–Vis data) were assembled from...

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Detalles Bibliográficos
Autores principales: Mamede, Rafael, Pereira, Florbela, Aires-de-Sousa, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660842/
https://www.ncbi.nlm.nih.gov/pubmed/34887473
http://dx.doi.org/10.1038/s41598-021-03070-9