Cargando…
VenomPred: A Machine Learning Based Platform for Molecular Toxicity Predictions
The use of in silico toxicity prediction methods plays an important role in the selection of lead compounds and in ADMET studies since in vitro and in vivo methods are often limited by ethics, time, budget and other resources. In this context, we present our new web tool VenomPred, a user-friendly p...
Autores principales: | Galati, Salvatore, Di Stefano, Miriana, Martinelli, Elisa, Macchia, Marco, Martinelli, Adriano, Poli, Giulio, Tuccinardi, Tiziano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877213/ https://www.ncbi.nlm.nih.gov/pubmed/35216217 http://dx.doi.org/10.3390/ijms23042105 |
Ejemplares similares
-
Recent Advances in In Silico Target Fishing
por: Galati, Salvatore, et al.
Publicado: (2021) -
Development of a cheminformatics platform for selectivity analyses of carbonic anhydrase inhibitors
por: Poli, Giulio, et al.
Publicado: (2019) -
MolBook UNIPI—Create,
Manage, Analyze, and
Share Your Chemical Data for Free
por: Galati, Salvatore, et al.
Publicado: (2023) -
Extensive Reliability Evaluation of Docking-Based Target-Fishing Strategies
por: Lapillo, Margherita, et al.
Publicado: (2019) -
Machine Learning-Based Virtual Screening for the Identification of Cdk5 Inhibitors
por: Di Stefano, Miriana, et al.
Publicado: (2022)