A method for high-throughput screening of endocrine disruptors
A high-throughput technology for endocrine disruptors, applied in the field of virtual screening and activity prediction of endocrine disruptors, achieving excellent prediction results
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Embodiment 1
[0062] combine Figure 1-3 shown, where figure 1 Flow chart of hierarchical alert structure identification and high-throughput screening based on nuclear receptor molecular initiation events taking Androgen Receptor (AR) as an example; figure 2 Androgen receptor (Androgen Receptor, AR), estrogen receptor (Estrogen Receptorα / β, ERα / β), glucocorticoid receptor (Glucocorticoid Receptor, GR), mineralocorticoid receptor (Mineralocorticoid Receptor, MR), Progesterone Receptor (PR), retinoic acid receptor (Retinoic Acid Receptorα / β / γ, RARα / β / γ), thyroid hormone receptor (Thyroid Hormone Receptorα / β, TRα / β) and vitamin D Receptor (Vitamin D Receptor, VDR) prediction result diagram of active / inactive (Active / Inactive) module training set and test set; image 3 Androgen receptor (Androgen Receptor, AR), estrogen receptor (Estrogen Receptorα / β, ERα / β), glucocorticoid receptor (Glucocorticoid Receptor, GR), mineralocorticoid receptor (Mineralocorticoid Receptor, MR) , progesterone rec...
Embodiment 2
[0113] The basic content of this embodiment is the same as that of Embodiment 1, the difference is that: in combination Figure 5-16 As shown (warning structure of 12 nuclear receptors), a high-throughput screening model system and screening method for endocrine disruptors of the present invention, the target nuclear receptor used in this embodiment is human estrogen receptor Alpha (Estrogen Receptorα, ERα), the specific steps are as follows:
[0114] Structural data collection: According to the type limitation of the compound as an organic substance in step 1, the compound Chlorhexidine with CAS No. 55-56-1 was selected as the target compound to predict the interference activity. The SMILES numbers searched from ChEMBL database and PubChem database are:
[0115] C1C1=CC=C(NC(=N)NC(=N)NCCCCCNC(=N)NC(=N)NC2=CC=C(C1)C=C2)C=C1. The SMILES number was imported into ChemBioDraw Ultra 14.0 software for inspection, and the structure was found to be correct, which can be used to pred...
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