Cargando…
2D-QSAR, molecular docking, drug-likeness, and ADMET/pharmacokinetic predictions of some non-small cell lung cancer therapeutic agents
OBJECTIVES: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, with nearly 2 million diagnoses and a 17% 5-year survival rate. The aim of this study was to use computer-aided techniques to identify potential therapeutic agents for NSCLC. METHODS: The two dimensional-quantitat...
Autores principales: | Ibrahim, M.T., Uzairu, A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taibah University
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926115/ https://www.ncbi.nlm.nih.gov/pubmed/36817217 http://dx.doi.org/10.1016/j.jtumed.2022.09.002 |
Ejemplares similares
-
In-silico modelling studies of 5-benzyl-4-thiazolinone derivatives as influenza neuraminidase inhibitors via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions
por: Abdullahi, Mustapha, et al.
Publicado: (2022) -
Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions
por: Abdullahi, Mustapha, et al.
Publicado: (2022) -
3D-QSAR, docking and ADMET properties of aurone analogues as antimalarial agents
por: Hadni, Hanine, et al.
Publicado: (2020) -
QSAR analysis and molecular docking simulation of norepinephrine transporter (NET) inhibitors as anti-psychotic therapeutic agents
por: Olasupo, Sabitu Babatunde, et al.
Publicado: (2019) -
Molecular docking, QSAR and ADMET studies of withanolide analogs against breast cancer
por: Yadav, Dharmendra K, et al.
Publicado: (2017)