Engineering a genetically encoded competitive inhibitor of the KEAP1-NRF2 interaction via structure-based design and phage display

In its basal state, KEAP1 binds the transcription factor NRF2 (Kd = 5 nM) and promotes its degradation by ubiquitylation. Changes in the redox environment lead to modification of key cysteines within KEAP1, resulting in NRF2 protein accumulation and the transcription of genes important for restoring the cellular redox state. Using phage display and a computational loop grafting protocol, we engineered a monobody (R1) that is a potent competitive inhibitor of the KEAP1-NRF2 interaction. R1 bound to KEAP1 with a Kd of 300 pM and in human cells freed NRF2 from KEAP1 resulting in activation of the NRF2 promoter. Unlike cysteine-reactive small molecules that lack protein specificity, R1 is a genetically encoded, reversible inhibitor designed specifically for KEAP1. R1 should prove useful for studying the role of the KEAP1-NRF2 interaction in several disease states. The structure-based phage display strategy employed here is a general approach for engineering high-affinity binders that compete with naturally occurring interactions.

Automated assay optimization with integrated statistics and smart robotics

The transition from manual to robotic high throughput screening (HTS) in the last few years has made it feasible to screen hundreds of thousands of chemical entities against a biological target in less than a month. This rate of HTS has increased the visibility of bottlenecks, one of which is assay optimization. In many organizations, experimental methods are generated by therapeutic teams associated with specific targets and passed on to the HTS group. The resulting assays frequently need to be further optimized to withstand the rigors and time frames inherent in robotic handling. Issues such as protein aggregation, ligand instability, and cellular viability are common variables in the optimization process. The availability of robotics capable of performing rapid random access tasks has made it possible to design optimization experiments that would be either very difficult or impossible for a person to carry out. Our approach to reducing the assay optimization bottleneck has been to unify the highly specific fields of statistics, biochemistry, and robotics. The product of these endeavors is a process we have named automated assay optimization (AAO). This has enabled us to determine final optimized assay conditions, which are often a composite of variables that we would not have arrived at by examining each variable independently. We have applied this approach to both radioligand binding and enzymatic assays and have realized benefits in both time and performance that we would not have predicted a priori. The fully developed AAO process encompasses the ability to download information to a robot and have liquid handling methods automatically created. This evolution in smart robotics has proven to be an invaluable tool for maintaining high-quality data in the context of increasing HTS demands.

Differential induction of hepatic drug-metabolizing enzymes by fenvaleric acid in male rats

Racemic fenvaleric acid [2-(4-chlorophenyl)-3-methyl-butanoic acid], the principal metabolite of fenvalerate, was administrated orally at 0.75, 1.5, and 3.0 mmol/kg body weight/day to Fisher-344 male rats for 7 days. Both pure enantiomers of fenvaleric acid were administered at 1.5 mmol/kg body weight/day; the clofibric acid at the same concentration was used as a positive control. Hepatic enzyme activities were measured. Results obtained clearly show that fenvaleric acid induced numerous hepatic drug metabolism enzymes in F344 rats. The (R) enantiomer of this compound induces a proliferation of peroxisomes, whereas the (S) enantiomer induces CYP2B and mEH activities. Therefore, high exposure to pyrethroid insecticides could interact with the normal metabolism of drugs or xenobiotics.

Homology model of juvenile hormone esterase from the crop pest, Heliothis virescens

Juvenile Hormone Esterase (JHE) plays an essential role in the development of insects since it is partially responsible for clearing juvenile hormone (JH), one of the hormones that is responsible for insect metamorphosis. JHE is a 60 kDa enzyme that selectively hydrolyzes the alpha/beta unsaturated ester of JH. Because of its pivotal role in insect development, we have targeted JHE for use as a biopesticide. In this study, we have constructed a homology-based molecular model of JHE from the agricultural crop pest, Heliothis virescens. JHE is a member of the alpha/beta hydrolase fold family of enzymes and was built according to two structures in the same family: acetylcholinesterase from Torpedo californica and lipase from Geotrichum candidum. Analysis of the active site region reveals extensive conservation between JHE and its templates. A surprise was the presence of a conserved Ser near the catalytic triad. Docking of JH III into the active site has provided insight into protein-substrate interactions that are corroborated by experimental observation. The model is being used as a predictive basis to design biopesticides. In this regard, we have identified a site on the protein surface that is suggestive of a recognition site for the putative JHE receptor.

Dominant mutations affecting muscle structure in Caenorhabditis elegans that map near the actin gene cluster

By examining F1 progeny of mutagenized Caenorhabditis elegans larvae, we recovered several dominant mutations which affect muscle structure. Five of these new mutations resulted in phenotypes unlike the previously recognized unc-54 and unc-15 dominant alleles. Mapping studies placed all five mutations in the same small region of linkage group V. Polarized light, fluorescence and electron microscopic studies showed that a prominent feature of the disorganized myofilament lattice is the abnormal placement of thin filaments within the body wall muscle cells. Pharyngeal musculature is also affected by three of the mutations when homozygous. Of the five mutations only three are homozygous viable. All three of these have unusually high intragenic reversion rates either spontaneously (approximately 10(-6)) or after ethyl methanesulfonate mutagenesis (2 X 10(-5)), suggesting that reversion occurs through loss of function mutations. No unlinked suppressor mutations were found. The dominance of the mutations, the effect on thin filaments and the reversion properties suggested that these new dominant mutations lie in a gene or genes specifying a structural component of the thin filament. The positioning of a set of three actin sequences in the same region (Files et al., 1983) led us to speculate that these mutations lie in actin genes.

Glutamic acid decarboxylation in Chlorella

The decarboxylation of endogenous free glutamic acid by Chlorella pyrenoidosa, Marburg strain, was induced by a variety of metabolic poisons, by anaerobic conditions, and by freezing and thawing the cells. The rate of decarboxylation was proportional to the concentration of inhibitor present. Possible mechanisms which relate the effects of the various conditions on glutamate decarboxylation and oxygen consumption by Chlorella are discussed.