Istvan Enyedy

Small molecules inhibit the interaction of Nrf2 and the Keap1 Kelch domain through a non-covalent mechanism.

Keap1 binds to the Nrf2 transcription factor to promote its degradation, resulting in the loss of gene products that protect against oxidative stress. While cell-active small molecules have been identified that modify cysteines in Keap1 and effect the Nrf2 dependent pathway, few act through a non-covalent mechanism. We have identified and characterized several small molecule compounds that specifically bind to the Keap1 Kelch-DC domain as measured by NMR, native mass spectrometry and X-ray crystallography. One compound upregulates Nrf2 response genes measured by a luciferase cell reporter assay. The non-covalent inhibition strategy presents a reasonable course of action to avoid toxic side-effects due to non-specific cysteine modification.

Discovery of biaryl carboxylamides as potent RORγ inverse agonists

RORγt is a pivotal regulator of a pro-inflammatory gene expression program implicated in the pathology of several major human immune-mediated diseases. Evidence from mouse models demonstrates that genetic or pharmacological inhibition of RORγ activity can block the production of pathogenic cytokines, including IL-17, and convey therapeutic benefit. We have identified and developed a biaryl-carboxylamide series of RORγ inverse agonists via a structure based design approach. Co-crystal structures of compounds 16 and 48 supported the design approach and confirmed the key interactions with RORγ protein; the hydrogen bonding with His479 was key to the significant improvement in inverse agonist effect. The results have shown this is a class of potent and selective RORγ inverse agonists, with demonstrated oral bioavailability in rodents.

Discovery of novel pyrazole-containing benzamides as potent RORγ inverse agonists

The nuclear receptor RORγ plays a central role in controlling a pro-inflammatory gene expression program in several lymphocyte lineages including TH17 cells. RORγ-dependent inflammation has been implicated in the pathogenesis of several major autoimmune diseases and thus RORγ is an attractive target for therapeutic intervention in these diseases. Starting from a lead biaryl compound 4a, replacement of the head phenyl moiety with a substituted aminopyrazole group resulted in a series with improved physical properties. Further SAR exploration led to analogues (e.g., 4j and 5m) as potent RORγ inverse agonists.

Structure-based design of low-nanomolar PIM kinase inhibitors

PIM kinases are implicated in variety of cancers by promoting cell survival and proliferation and are targets of interest for therapeutic intervention. We have identified a low-nanomolar pan-PIM inhibitor (PIM1/2/3 potency 5:14:2nM) using structure based modeling. The crystal structure of this compound with PIM1 confirmed the predicted binding mode and protein-ligand interactions except those in the acidic ribose pocket. We show the SAR suggesting the importance of having a hydrogen bond donor in this pocket for inhibiting PIM2; however, this interaction is not important for inhibiting PIM1 or PIM3. In addition, we report the discovery of a new class of PIM inhibitors by using computational de novo design tool implemented in MOE software (Chemical Computing Group). These inhibitors have a different interaction profile.

Discovery of biaryls as RORγ inverse agonists by using structure-based design.

RORγ plays a critical role in controlling a pro-inflammatory gene expression program in several lymphocyte lineages including T cells, γδ T cells, and innate lymphoid cells. RORγ-mediated inflammation has been linked to susceptibility to Crohns disease, arthritis, and psoriasis. Thus inverse agonists of RORγ have the potential of modulating inflammation. Our goal was to optimize two RORγ inverse agonists: T0901317 from literature and 1 that we obtained from internal screening. We used information from internal X-ray structures to design two libraries that led to a new biaryl series.

The statistics of virtual screening and lead optimization.

Analytic formulae are used to estimate the error for two virtual screening metrics, enrichment factor and area under the ROC curve. These analytic error estimates are then compared to bootstrapping error estimates, and shown to have excellent agreement with respect to area under the ROC curve and good agreement with respect to enrichment factor. The major advantage of the analytic formulae is that they are trivial to calculate and depend only on the number of actives and inactives and the measured value of the metric, information commonly reported in papers. In contrast to this, the bootstrapping method requires the individual compound scores. Methods for converting the error, which is calculated as a variance, into more familiar error bars are also discussed.

Investigating small molecules to inhibit germinal center kinase-like kinase (GLK/MAP4K3) upstream of PKCθ phosphorylation: Potential therapy to modulate T cell dependent immunity

Germinal center kinase-like kinase (GLK, also known as MAP4K3) has been hypothesized to have an effect on key cellular activities, including inflammatory responses. GLK is required for activation of protein kinase C-θ (PKCθ) in T cells. Controlling the activity of T helper cell responses could be valuable for the treatment of autoimmune diseases. This approach circumvents previous unsuccessful approaches to target PKCθ directly. The use of structure based drug design, aided by the first crystal structure of GLK, led to the discovery of several inhibitors that demonstrate potent inhibition of GLK biochemically and in relevant cell lines.