StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists
The role of estrogen receptors (ERs) in breast cancer is of great importance in both clinical
practice and scientific exploration. However, around 15–30% of those affected do not see …
practice and scientific exploration. However, around 15–30% of those affected do not see …
In Silico Prediction of ERRα Agonists Based on Combined Features and Stacking Ensemble Method
J Xu, Z Huang, H Duan, W Li, J Zhuang, L Xiong… - ChemMedChem - Wiley Online Library
Estrogen‐related receptor α (ERRα) is considered a very promising target for treating
metabolic diseases such as type 2 diabetes. Development of a prediction model to quickly …
metabolic diseases such as type 2 diabetes. Development of a prediction model to quickly …
maGENEgerZ: An Efficient Artificial Intelligence-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug …
T Turki, Y Taguchi - Mathematics, 2024 - mdpi.com
Understanding breast cancer drug response mechanisms can play a crucial role in
improving treatment outcomes and survival rates. Existing bioinformatics-based approaches …
improving treatment outcomes and survival rates. Existing bioinformatics-based approaches …
Identification of Estrogen Receptor α Antagonists from Natural Products via In Vitro and In Silico Approaches
X Pang, W Fu, J Wang, D Kang, L Xu… - Oxidative medicine …, 2018 - Wiley Online Library
Estrogen receptor α (ERα) is a successful target for ER‐positive breast cancer and also
reported to be relevant in many other diseases. Selective estrogen receptor modulators …
reported to be relevant in many other diseases. Selective estrogen receptor modulators …
Prediction of selective estrogen receptor beta agonist using open data and machine learning approach
A Niu, L Xie, H Wang, B Zhu, S Wang - Drug Design, Development …, 2016 - Taylor & Francis
Background Estrogen receptors (ERs) are nuclear transcription factors that are involved in
the regulation of many complex physiological processes in humans. ERs have been …
the regulation of many complex physiological processes in humans. ERs have been …
A systematic in silico mining of the mechanistic implications and therapeutic potentials of estrogen receptor (ER)-α in breast cancer
X Li, R Sun, W Chen, B Lu, X Li, Z Wang, J Bao - Plos One, 2014 - journals.plos.org
Estrogen receptor (ER)-α has long been a potential target in ER-α-positive breast cancer
therapeutics. In this study, we integrated ER-α-related bioinformatic data at different levels to …
therapeutics. In this study, we integrated ER-α-related bioinformatic data at different levels to …
[HTML][HTML] Discovery of novel selective ERα/ERβ ligands by multi-pharmacophore modeling and virtual screening
W Huang, W Wei, Y Yang, T Zhang… - Chemical and …, 2015 - jstage.jst.go.jp
Estrogen receptor α (ERα) and estrogen receptor β (ERβ) regulate different sets of gene
expression, and have different ligand responses, which make the estrogen tissue-specific …
expression, and have different ligand responses, which make the estrogen tissue-specific …
A machine learning-based approach to ERα bioactivity and drug ADMET prediction
By predicting ERα bioactivity and mining the potential relationship between Absorption,
Distribution, Metabolism, Excretion, Toxicity (ADMET) attributes in drug research and …
Distribution, Metabolism, Excretion, Toxicity (ADMET) attributes in drug research and …
Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-kB receptors based on machine learning and molecular docking
Breast cancer, the second most prevalent cancer among women worldwide, necessitates
the exploration of novel therapeutic approaches. To target the four subgroups of breast …
the exploration of novel therapeutic approaches. To target the four subgroups of breast …
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy
N Schaduangrat, N Anuwongcharoen, MA Moni… - Scientific Reports, 2022 - nature.com
Progesterone receptors (PRs) are implicated in various cancers since their
presence/absence can determine clinical outcomes. The overstimulation of progesterone …
presence/absence can determine clinical outcomes. The overstimulation of progesterone …