Cargando…
A QSAR Study of Environmental Estrogens Based on a Novel Variable Selection Method
A large number of descriptors were employed to characterize the molecular structure of 53 natural, synthetic, and environmental chemicals which are suspected of disrupting endocrine functions by mimicking or antagonizing natural hormones and may thus pose a serious threat to the health of humans and...
Autores principales: | Yi, Zhongsheng, Zhang, Aiqian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6268217/ https://www.ncbi.nlm.nih.gov/pubmed/22614865 http://dx.doi.org/10.3390/molecules17056126 |
Ejemplares similares
-
Recent Advances in Fragment-Based QSAR and Multi-Dimensional QSAR Methods
por: Myint, Kyaw Zeyar, et al.
Publicado: (2010) -
Application of 4D-QSAR Studies to a Series of Raloxifene Analogs and Design of Potential Selective Estrogen Receptor Modulators
por: Sodero, Ana Carolina Rennó, et al.
Publicado: (2012) -
Quantitative structure-activity relationships (QSARs) for estrogen binding to the estrogen receptor: predictions across species.
por: Tong, W, et al.
Publicado: (1997) -
Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS
por: Varmuza, Kurt, et al.
Publicado: (2013) -
MATH: A Deep Learning Approach in QSAR for Estrogen Receptor Alpha Inhibitors
por: Pusparini, Rizki Triyani, et al.
Publicado: (2023)