Control of mitogen-activated protein kinase (MAPK)cascades is central to regulation of many cellular responses. We describe here human tribbles homologues (Htrbs) that control MAPK activity. MAPK kinases interact with Trbs and regulate their steady state levels. Further, Trbs selectively regulate the activation of extracellular signal-regulated kinases, c-Jun NH 2 -terminal kinases, and p38 MAPK with different relative levels of activity for the three classes of MAPK observed depending on the level of Trb expression. These results suggest that Trbs control both the extent and the specificity of MAPK kinase activation of MAPK. Mitogen-activated protein kinase (MAPK)1 cascades control the activity of three sets of effector protein kinases (extracellular signal-regulated protein kinases (ERKs), Jun kinases (JNKs), and p38s). The central element in each MAPK pathway is a module of three protein kinases, MAPKK kinase, MAPKK, and MAPK (1). The three sets of effector MAPK differ in type of activating stimulus: JNKs and p38/HOG-1 primarily respond to stress (e.g. heat shock), and ERKs primarily respond to mitogens. However, a stimulus can activate more than one class of MAPK; the contribution of each pathway is cell typedependent, and MAPK pathways can both synergize and antagonize. This is caused in part by regulatory proteins influencing signaling by a range of mechanisms including scaffolding (e.g. JIP-1, STE5), regulating localization (e.g. Ksr), or recruitment to targets (e.g. 14-3-3 proteins) (2-4). Here we describe a novel family of MAPK control proteins, homologues of fly tribbles.Drosophila tribbles was shown to regulate String activity and hence mitosis during ventral furrow formation (5-8). A canine Trb-2-like protein has been described in the literature as a transiently expressed, mitogen induced, and highly labile cytoplasmic phosphoprotein, but its biological function was not characterized (9, 10). Rat Trb was shown to be rapidly upregulated during neuronal cell apoptosis (11). Recently Trb-3 has been reported to regulate Akt activation in liver by insulin (12) and regulate ATF4 activity (13,14). We show here that Trbs bind to MAPKK and regulate MAPK activation suggesting that Trb function may be broader than reported previously. , FLAG-MEK-1 (16), , and LHRE-TK-luc (18) were described earlier. V12 Ras was a gift of J. Downward. pAP-1 luc, pNFB luc, pFR luc, pFA-CHOP, pFA2-Elk-1, pMEKK-1 pMEK-1, and pMEK-3 were part of the PathDetect system (Stratagene). Quantitative real time-PCR was performed to characterize the expression profile of human tribbles genes by using the Human Rapid-Scan panel (Origene). MRNA levels are expressed as relative units normalized for glyceraldehyde-3-phosphate dehydrogenase expression. MATERIALS AND METHODS PlasmidsCell 85060701) and NIH 3T3 cells were maintained in Dulbecco's modified Eagle's medium with 10% fetal calf serum and penicillin-streptomycin. Raw cells were cultured in RPMI 1640 medium supplemented with 10% fetal calf serum and penicillin-streptomycin. Cells (1.5 ϫ ...
A comparative virtual screen for beta-secretase (BACE1) inhibitors using different docking methods (FlexX and FlexX-Pharm), scoring functions (Dock, Gold, Chem, PMF, FlexX), protonation states (default and calculated), and protein conformations (apo and ligand bound) has been performed. Apo and ligand bound conformations of BACE1 were both found to be suitable for virtual screening. Assigning calculated protonation states to catalytic Asp32 and Asp228 residues resulted in significant improvement of enrichment factors as calculated at 1% of the ranked database. Using 1FKN we obtained no enrichment by FlexX/D-Score that was improved to 36 when considering calculated protonation states. We also show that combining calculated protonation states with pharmacophore constraints using FlexX-Pharm/D-Score improved enrichment further to 41. Enrichments reported in this study suggest our screening protocol will be effective in the virtual screening of large compound libraries for BACE1 inhibitors.
Glycogen synthase kinase-3beta (GSK-3beta) is a serine/threonine kinase that has recently emerged as a key target for neurodegenerative diseases and diabetes. As an initial step of our lead discovery program, we developed a virtual screen to discriminate known GSK-3beta inhibitors and inactive compounds using FlexX, FlexX-Pharm, and FlexE. The maximal enrichment factor (EF = 28) suggests that our protocol identifies potential GSK-3beta inhibitors effectively from large compound collections. The effectiveness of our screening protocol was further investigated by comparative experimental and virtual high-throughput screens (HTSs) performed for the same subset of our corporate library. Enrichment factors, the significantly higher hit rate of virtual screening (12.9%) than that of the HTS (0.55%), and also the comparison of active clusters suggest that our virtual screening protocol is an effective tool in GSK-3beta-based library focusing. Head-to-head comparison of true/false positives and negatives revealed the two approaches to be complementary rather than competitive.
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