TAN Yaw Sing

p53 is frequently mutated in human cancers. Its levels are tightly regulated by the E3 ubiquitin ligase MDM2. The complex between MDM2 and p53 is largely formed by the interaction between the N-terminal domain of MDM2 and the N-terminal transactivation (TA) domain of p53 (residues 15-29). We investigated the kinetic and thermodynamic basis of the MDM2/p53 interaction by using wild-type and mutant variants of the TA domain. We focus on the effects of phosphorylation at positions Thr18 and Ser20 including their substitution with phosphomimetics.

We observed a unique bioelectric signal of human embryonic stem cells using direct current−voltage measurements facilitated by few-layered 2DMoS2 sheets. A 1.828 mA cell signal was achieved (2 orders of magnitude higher than previous electrical-based detection methods) as well as multiple cell reading cycles demonstrating I ∼ 1.9 mA. Native stem cell proliferation, viability, and pluripotency were preserved. Molecular dynamics simulations elucidated the origin of the 2D-MoS2 sheet-assisted increase in current flow.

Sal-like 4 (SALL4) is a nuclear factor central to the maintenance of stem cell pluripotency and is a key component in hepatocellular carcinoma, a malignancy with no effective treatment. In cancer cells, SALL4 associates with nucleosome remodeling deacetylase (NuRD) to silence tumor-suppressor genes, such as PTEN.

Murine double minute 4 protein (MDMX) is crucial for the regulation of the tumor suppressor protein p53. Phosphorylation of the N-terminal domain of MDMX is thought to affect its binding with the transactivation domain of p53, thus playing a role in p53 regulation. In this study, the effects of MDMX phosphorylation on the binding of p53 were investigated using molecular dynamics simulations.

Stapled peptides are gaining tremendous interest as next-generation therapeutic agents to target protein-protein interactions. Herein, we report an intramolecular peptide stapling method which links two tryptophan residues at C2 position of the indole moieties via acid-mediated condensation with an aldehyde.

We report a double-click macrocyclization approach for the constraint of peptide inhibitors in non-helical or extended conformations. Our targets are the tankyrase proteins (TNKS), poly(ADP-ribose) polymerases that regulate Wnt signaling by targeting Axin for degradation. TNKS are deregulated in many different cancer types, and inhibition of TNKS therefore represents an attractive therapeutic strategy. However, the clinical development of TNKS-specific PARP inhibitors is challenging due to off-target effects and cellular toxicity.

There is a lack of current treatment options for ovarian clear cell carcinoma (CCC) and the cancer is often resistant to platinum-based chemotherapy. Hence there is an urgent need for novel therapeutics. The transcription factor hepatocyte nuclear factor 1β (HNF1β) is ubiquitously overexpressed in CCC and is seen as an attractive therapeutic target. This was validated through shRNA-mediated knockdown of the target protein, HNF1β, in five high- and low-HNF1β-expressing CCC lines.

Stapling is a key technique for stabilising peptides in an α-helical structure. The resultant stapled peptides are then able to compete efficiently for binding to protein targets involved in protein-protein interactions that are mediated by α-helices. Certain general design principles to optimise their binding and biological activity have emerged in recent years. This is accompanied by an increasing use of computational methods in stapled peptide design. In this article, we detail these design principles and review the contributions that computation has made to the field.

The identification of genes encoding a p53 family member and an Mdm2 ortholog in the ancient placozoan Trichoplax adhaerens advocates for the evolutionary conservation of a pivotal stress-response pathway observed in all higher eukaryotes. Here, we recapitulate several key functionalities ascribed to this known interacting protein pair by analysis of the placozoan proteins (Tap53 and TaMdm2) using both in vitro and cellular assays.

Protein flexibility poses a major challenge in binding site identification. Several computational pocket detection methods that utilize small-molecule probes in molecular dynamics (MD) simulations have been developed to address this issue. Although they have proven hugely successful at reproducing experimental structural data, their ability to predict new binding sites that are yet to be identified and characterized has not been demonstrated.