Functional virtual screening of estrogen receptor α modulators by FlexX-Pharm

Discovery of estrogen receptor α modulators from natural compounds in Si-Wu-Tang series decoctions using estrogen-responsive MCF-7 breast cancer cells

The binding between the estrogen receptor α (ER-α) and a variety of compounds in traditional Chinese formulae, Si-Wu-Tang (SWT) series decoctions, was studied using a stably-transfected human breast cancer cell line (MVLN). In 38 compounds tested from SWT series decoctions, the estrogen-like activity of 22 compounds was above 60% in 20 μg mL(-1). Furthermore, theoretical affinity of these compounds was certificated using the functional virtual screen of ER-α modulators by FlexX-Pharm. The accuracy of functional virtual screening of ER-α modulators could reach to 77.27%. The results showed that some compounds, such as organic acids and flavones in SWT series decoctions could be used as selective estrogen receptor modulators (SERMs) and could be selected for further development as potential agents for estrogen related diseases.

IKKβ inhibitor identification: a multi-filter driven novel scaffold

Background

Nuclear factor kappa B (NF-κB) is a chief nuclear transcription factor that controls the transcription of various genes; and its activation is tightly controlled by Inhibitor kappa B kinase (IKK). The irregular transcription of NF-κB has been linked to auto-immune disorders, cancer and other diseases. The IKK complex is composed of three units, IKKα, IKKβ, and the regulatory domain NEMO, of which IKKβ is well understood in the canonical pathway. Therefore, the inhibition of IKKβ by drugs forms the molecular basis for anti-inflammatory drug research.

Results

The ligand- and structure-based virtual screening (VS) technique has been applied to identify IKKβ inhibitors from the ChemDiv database with 0.7 million compounds. Initially, a 3D-QSAR pharmacophore model has been deployed to greatly reduce the database size. Subsequently, recursive partitioning (RP) and docking filters were used to screen the pharmacophore hits. Finally, 29 compounds were selected for IKKβ enzyme inhibition assay to identify a novel small molecule inhibitor of IKKβ protein.

Conclusions

In the present investigation, we have applied various computational models sequentially to virtually screen the ChemDiv database, and identified a small molecule that has an IC₅₀ value of 20.3μM. This compound is novel among the known IKKβ inhibitors. Further optimization of the hit compound can reveal a more potent anti-inflammatory agent.

Exploration of endocrine-disrupting chemicals on estrogen receptor alpha by the agonist/antagonist differential-docking screening (AADS) method: 4-(1-adamantyl)phenol as a potent endocrine disruptor candidate

We established a novel screening method to survey endocrine-disrupting chemicals by means of in silico docking calculations. Endocrine disruptors target the human nuclear receptor, which bind a chemical in a pocket presenting in the ligand-binding domain (LBD). The LBD alters its conformation, depending upon the binding of either agonist or antagonist. We discovered that the chemicals can be differentiated into either agonist or antagonist by the docking calculations of the chemical for the LBD. We used the crystal structures of both agonist-bound LBDs and antagonist-bond LBDs as templates in the docking calculations, and estimated binding energies to discriminate between agonist and antagonist bindings. This agonist/antagonist differential-docking screening (AADS) method predicted, for example, 4-(1-adamantyl)phenol as an agonist of the human estrogen receptor alpha (hERalpha). Indeed, this compound, one of the essential raw materials for nanoporous organosilicate thin films, was confirmed to exhibit strong agonist activity in the reporter-gene assay for hERalpha with a high binding affinity. The AADS method is an approach that appears to foresee both the binding ability and the agonist/antagonist function of chemicals for the target nuclear receptors.