Cargando…
A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification
Exploring new ways to represent and discover organic molecules is critical to the development of new therapies. Fingerprinting algorithms are used to encode or machine-read organic molecules. Molecular encodings facilitate the computation of distance and similarity measurements to support tasks such...
Autores principales: | Hattab, Georges, Anžel, Aleksandar, Spänig, Sebastian, Neumann, Nils, Heider, Dominik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830542/ https://www.ncbi.nlm.nih.gov/pubmed/36632611 http://dx.doi.org/10.1093/nargab/lqac103 |
Ejemplares similares
-
A large-scale comparative study on peptide encodings for biomedical classification
por: Spänig, Sebastian, et al.
Publicado: (2021) -
Encodings and models for antimicrobial peptide classification for multi-resistant pathogens
por: Spänig, Sebastian, et al.
Publicado: (2019) -
The visual story of data storage: From storage properties to user interfaces
por: Anžel, Aleksandar, et al.
Publicado: (2021) -
MOVIS: A multi-omics software solution for multi-modal time-series clustering, embedding, and visualizing tasks
por: Anžel, Aleksandar, et al.
Publicado: (2022) -
Unsupervised encoding selection through ensemble pruning for biomedical classification
por: Spänig, Sebastian, et al.
Publicado: (2023)