A carregar...
Prediction of Orthosteric and Allosteric Regulations on Cannabinoid Receptors Using Supervised Machine Learning Classifiers
Designing highly selective compounds to protein subtypes and developing allosteric modulators targeting them are critical considerations to both drug discovery and mechanism studies for cannabinoid receptors. It is challenging but in demand to have classifiers to identify active ligands from inactiv...
Na minha lista:
| Publicado no: | Mol Pharm |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6732211/ https://ncbi.nlm.nih.gov/pubmed/31013097 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.molpharmaceut.9b00182 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|