The differing effects of a dual acting regulator on SIRT1.

SIRT1 is an NAD+-dependent protein deacetylase that has been shown to play a significant role in many biological pathways, such as insulin secretion, tumor formation, lipid metabolism, and neurodegeneration. There is great interest in understanding the regulation of SIRT1 to better understand SIRT1-related diseases and to better design therapeutic approaches that target SIRT1. There are many known protein and small molecule activators and inhibitors of SIRT1. One well-studied SIRT1 regulator, resveratrol, has historically been regarded as a SIRT1 activator, however, recent studies have shown that it can also act as an inhibitor depending on the identity of the peptide substrate. The inhibitory nature of resveratrol has yet to be studied in detail. Understanding the mechanism behind this dual behavior is crucial for assessing the potential side effects of STAC-based therapeutics. Here, we investigate the detailed mechanism of substrate-dependent SIRT1 regulation by resveratrol. We demonstrate that resveratrol alters the substrate recognition of SIRT1 by affecting the K M values without significantly impacting the catalytic rate (k cat). Furthermore, resveratrol destabilizes SIRT1 and extends its conformation, but the conformational changes differ between the activation and inhibition scenarios. We propose that resveratrol renders SIRT1 more flexible in the activation scenario, leading to increased activity, while in the inhibition scenario, it unravels the SIRT1 structure, compromising substrate recognition. Our findings highlight the importance of substrate identity in resveratrol-mediated SIRT1 regulation and provide insights into the allosteric control of SIRT1. This knowledge can guide the development of targeted therapeutics for diseases associated with dysregulated SIRT1 activity.

Prediction and confirmation of a switch-like region within the N-terminal domain of hSIRT1.

Many proteins display conformational changes resulting from allosteric regulation. Often only a few residues are crucial in conveying these structural and functional allosteric changes. These regions that undergo a significant change in structure upon receiving an input signal, such as molecular recognition, are defined as switch-like regions. Identifying these key residues within switch-like regions can help elucidate the mechanism of allosteric regulation and provide guidance for synthetic regulation. In this study, we combine a novel computational workflow with biochemical methods to identify a switch-like region in the N-terminal domain of human SIRT1 (hSIRT1), a lysine deacetylase that plays important roles in regulating cellular pathways. Based on primary sequence, computational methods predicted a region between residues 186-193 in hSIRT1 to exhibit switch-like behavior. Mutations were then introduced in this region and the resulting mutants were tested for allosteric reactions to resveratrol, a known hSIRT1 allosteric regulator. After fine-tuning the mutations based on comparison of known secondary structures, we were able to pinpoint M193 as the residue essential for allosteric regulation, likely by communicating the allosteric signal. Mutation of this residue maintained enzyme activity but abolished allosteric regulation by resveratrol. Our findings suggest a method to predict switch-like regions in allosterically regulated enzymes based on the primary sequence. If further validated, this could be an efficient way to identify key residues in enzymes for therapeutic drug targeting and other applications.

Entropy drives selective fluorine recognition in the fluoroacetyl-CoA thioesterase from Streptomyces cattleya.

Fluorinated small molecules play an important role in the design of bioactive compounds for a broad range of applications. As such, there is strong interest in developing a deeper understanding of how fluorine affects the interaction of these ligands with their targets. Given the small number of fluorinated metabolites identified to date, insights into fluorine recognition have been provided almost entirely by synthetic systems. The fluoroacetyl-CoA thioesterase (FlK) from Streptomyces cattleya thus provides a unique opportunity to study an enzyme-ligand pair that has been evolutionarily optimized for a surprisingly high 106 selectivity for a single fluorine substituent. In these studies, we synthesize a series of analogs of fluoroacetyl-CoA and acetyl-CoA to generate nonhydrolyzable ester, amide, and ketone congeners of the thioester substrate to isolate the role of fluorine molecular recognition in FlK selectivity. Using a combination of thermodynamic, kinetic, and protein NMR experiments, we show that fluorine recognition is entropically driven by the interaction of the fluorine substituent with a key residue, Phe-36, on the lid structure that covers the active site, resulting in an ∼5- to 20-fold difference in binding (KD). Although the magnitude of discrimination is similar to that found in designed synthetic ligand-protein complexes where dipolar interactions control fluorine recognition, these studies show that hydrophobic and solvation effects serve as the major determinant of naturally evolved fluorine selectivity.

Dissecting allosteric effects of activator-coactivator complexes using a covalent small molecule ligand.

Allosteric binding events play a critical role in the formation and stability of transcriptional activator-coactivator complexes, perhaps in part due to the often intrinsically disordered nature of one or more of the constituent partners. The kinase-inducible domain interacting (KIX) domain of the master coactivator CREB binding protein/p300 is a conformationally dynamic domain that complexes with transcriptional activators at two discrete binding sites in allosteric communication. The complexation of KIX with the transcriptional activation domain of mixed-lineage leukemia protein leads to an enhancement of binding by the activation domain of CREB (phosphorylated kinase-inducible domain of CREB) to the second site. A transient kinetic analysis of the ternary complex formation aided by small molecule ligands that induce positive or negative cooperative binding reveals that positive cooperativity is largely governed by stabilization of the bound complex as indicated by a decrease in koff. Thus, this suggests the increased binding affinity for the second ligand is not due to an allosteric creation of a more favorable binding interface by the first ligand. This is consistent with data from us and from others indicating that the on rates of conformationally dynamic proteins approach the limits of diffusion. In contrast, negative cooperativity is manifested by alterations in both kon and koff, suggesting stabilization of the binary complex.

Ordering a dynamic protein via a small-molecule stabilizer.

Like many coactivators, the GACKIX domain of the master coactivator CBP/p300 recognizes transcriptional activators of diverse sequence composition via dynamic binding surfaces. The conformational dynamics of GACKIX that underlie its function also render it especially challenging for structural characterization. We have found that the ligand discovery strategy of Tethering is an effective method for identifying small-molecule fragments that stabilize the GACKIX domain, enabling for the first time the crystallographic characterization of this important motif. The 2.0 Å resolution structure of GACKIX complexed to a small molecule was further analyzed by molecular dynamics simulations, which revealed the importance of specific side-chain motions that remodel the activator binding site in order to accommodate binding partners of distinct sequence and size. More broadly, these results suggest that Tethering can be a powerful strategy for identifying small-molecule stabilizers of conformationally malleable proteins, thus facilitating their structural characterization and accelerating the discovery of small-molecule modulators.

Profiling the dynamic interfaces of fluorinated transcription complexes for ligand discovery and characterization.

The conformationally dynamic binding surfaces of transcription complexes present a particular challenge for ligand discovery and characterization. In the case of the KIX domain of the master coactivator CBP/p300, few small molecules have been reported that target its two allosterically regulated binding sites despite the important roles that KIX plays in processes ranging from memory formation to hematopoiesis. Taking advantage of the enrichment of aromatic amino acids at protein interfaces, here we show that the incorporation of six (19)F-labeled aromatic side chains within the KIX domain enables recapitulation of the differential binding footprints of three natural activator peptides (MLL, c-Myb, and pKID) in complex with KIX and effectively reports on allosteric changes upon binding using 1D NMR spectroscopy. Additionally, the examination of both the previously described KIX protein-protein interaction inhibitor Napthol-ASE-phosphate and newly discovered ligand 1-10 rapidly revealed both the binding sites and the affinities of these small molecules. Significantly, the utility of using fluorinated transcription factors for ligand discovery was demonstrated through a fragment screen leading to a new low molecular weight fragment ligand for CBP/p300, 1G7. Aromatic amino acids are enriched at protein-biomolecule interfaces; therefore, this quantitative and facile approach will be broadly useful for studying dynamic transcription complexes and screening campaigns complementing existing biophysical methods for studying these dynamic interfaces.

Transient-state kinetic analysis of transcriptional activator·DNA complexes interacting with a key coactivator.

Several lines of evidence suggest that the prototypical amphipathic transcriptional activators Gal4, Gcn4, and VP16 interact with the key coactivator Med15 (Gal11) during transcription initiation despite little sequence homology. Recent cross-linking data further reveal that at least two of the activators utilize the same binding surface within Med15 for transcriptional activation. To determine whether these three activators use a shared binding mechanism for Med15 recruitment, we characterized the thermodynamics and kinetics of Med15·activator·DNA complex formation by fluorescence titration and stopped-flow techniques. Combination of each activator·DNA complex with Med15 produced biphasic time courses. This is consistent with a minimum two-step binding mechanism composed of a bimolecular association step limited by diffusion, followed by a conformational change in the Med15·activator·DNA complex. Furthermore, the equilibrium constant for the conformational change (K(2)) correlates with the ability of an activator to stimulate transcription. VP16, the most potent of the activators, has the largest K(2) value, whereas Gcn4, the least potent, has the smallest value. This correlation is consistent with a model in which transcriptional activation is regulated at least in part by the rearrangement of the Med15·activator·DNA ternary complex. These results are the first detailed kinetic characterization of the transcriptional activation machinery and provide a framework for the future design of potent transcriptional activators.