Cargando…
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products
[Image: see text] Computational approaches such as genome and metabolome mining are becoming essential to natural products (NPs) research. Consequently, a need exists for an automated structure-type classification system to handle the massive amounts of data appearing for NP structures. An ideal sem...
Autores principales: | Kim, Hyun Woo, Wang, Mingxun, Leber, Christopher A., Nothias, Louis-Félix, Reher, Raphael, Kang, Kyo Bin, van der Hooft, Justin J. J., Dorrestein, Pieter C., Gerwick, William H., Cottrell, Garrison W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society and American Society of Pharmacognosy
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631337/ https://www.ncbi.nlm.nih.gov/pubmed/34662515 http://dx.doi.org/10.1021/acs.jnatprod.1c00399 |
Ejemplares similares
-
DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data
por: Kim, Hyun Woo, et al.
Publicado: (2023) -
MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools
por: Ernst, Madeleine, et al.
Publicado: (2019) -
NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters
por: Leão, Tiago F, et al.
Publicado: (2022) -
Significance estimation for large scale metabolomics annotations by spectral matching
por: Scheubert, Kerstin, et al.
Publicado: (2017) -
Propagating annotations of molecular networks using in silico fragmentation
por: da Silva, Ricardo R., et al.
Publicado: (2018)