Computational screening and design of S100B ligand to block S100B–p53 interaction

Molecular dynamics-based computational investigations on the influence of tumor suppressor p53 binding protein against other proteins/peptides

The tumor-suppressing p-53 binding protein is a crucial protein that is involved in the prevention of cancer via its regulatory effect on a number of cellular processes. Recent evidence indicates that it interacts with a number of other proteins involved in cancer in ways that are not fully understood. An understanding of such interactions could provide insights into novel ways p53 further exerts its tumour prevention role via its interactions with diverse proteins. Thus, this study aimed to examine the interactions of the p53 protein with other proteins (peptides and histones) using molecular simulation dynamics. We opted for a total of seven proteins, namely 2LVM, 2MWO, 2MWP, 4CRI, 4 × 34, 5Z78, and 6MYO (control), and had their PBD files retrieved from the protein database. These proteins were then docked against the p-53 protein and the resulting interactions were examined using molecular docking simulations run at 500 ns. The result of the interactions revealed the utilisation of various amino acids in the process. The peptide that interacted with the highest number of amino acids was 5Z78 and these were Lys10, Gly21, Trp24, Pro105, His106, and Arg107, indicating a stronger interaction. The RMSD and RMSF values indicate that the complexes formed were stable, with 4CRI, 6MYO, and 2G3R giving the most stable values (less than 2.5 Å). Other parameters, including the SASA, Rg, and number of hydrogen bonds, all indicated the formation of fairly stable complexes. Our study indicates that overall, the interactions of 53BP1 with p53K370me2, p53K382me2, methylated K810 Rb, p53K381acK382me2, and tudor-interacting repair regulator protein indicated interactions that were not as strong as those with the histone protein. Thus, it could be that P53 may mediate its tumour suppressing effect via interactions with amino acids and histone.

The Zn2+ and Ca2+ -binding S100B and S100A1 proteins: beyond the myths

The S100 genes encode a conserved group of 21 vertebrate-specific EF-hand calcium-binding proteins. Since their discovery in 1965, S100 proteins have remained enigmatic in terms of their cellular functions. In this review, we summarize the calcium- and zinc-binding properties of the dimeric S100B and S100A1 proteins and highlight data that shed new light on the extracellular and intracellular regulation and functions of S100B. We point out that S100B and S100A1 homodimers are not functionally interchangeable and that in a S100A1/S100B heterodimer, S100A1 acts as a negative regulator for the ability of S100B to bind Zn²⁺ . The Ca²⁺ and Zn²⁺ -dependent interactions of S100B with a wide array of proteins form the basis of its activities and have led to the derivation of some initial rules for S100B recognition of protein targets. However, recent findings have strongly suggested that these rules need to be revisited. Here, we describe a new consensus S100B binding motif present in intracellular and extracellular vertebrate-specific proteins and propose a new model for stable interactions of S100B dimers with full-length target proteins. A chaperone-associated function for intracellular S100B in adaptive cellular stress responses is also discussed. This review may help guide future studies on the functions of S100 proteins in general.

S100B raises the alert in subarachnoid hemorrhage

Subarachnoid hemorrhage (SAH) is a devastating disease with high mortality and mobility, the novel therapeutic strategies of which are essentially required. The calcium binding protein S100B has emerged as a brain injury biomarker that is implicated in pathogenic process of SAH. S100B is mainly expressed in astrocytes of the central nervous system and functions through initiating intracellular signaling or via interacting with cell surface receptor, such as the receptor of advanced glycation end products. The biological roles of S100B in neurons have been closely associated with its concentrations, resulting in either neuroprotection or neurotoxicity. The levels of S100B in the blood have been suggested as a biomarker to predict the progress or the prognosis of SAH. The role of S100B in the development of cerebral vasospasm and brain damage may result from the induction of oxidative stress and neuroinflammation after SAH. To get further insight into mechanisms underlying the role of S100B in SAH based on this review might help us to find novel therapeutic targets for SAH.

Antimycobacterial and anti-inflammatory activities of substituted chalcones focusing on an anti-tuberculosis dual treatment approach

Tuberculosis (TB) remains a serious public health problem aggravated by the emergence of M. tuberculosis (Mtb) strains resistant to multiple drugs (MDR). Delay in TB treatment, common in the MDR-TB cases, can lead to deleterious life-threatening inflammation in susceptible hyper-reactive individuals, encouraging the discovery of new anti-Mtb drugs and the use of adjunctive therapy based on anti-inflammatory interventions. In this study, a series of forty synthetic chalcones was evaluated in vitro for their anti-inflammatory and antimycobacterial properties and in silico for pharmacokinetic parameters. Seven compounds strongly inhibited NO and PGE₂ production by LPS-stimulated macrophages through the specific inhibition of iNOS and COX-2 expression, respectively, with compounds 4 and 5 standing out in this respect. Four of the seven most active compounds were able to inhibit production of TNF-α and IL-1β. Chalcones that were not toxic to cultured macrophages were tested for antimycobacterial activity. Eight compounds were able to inhibit growth of the M. bovis BCG and Mtb H37Rv strains in bacterial cultures and in infected macrophages. Four of them, including compounds 4 and 5, were active against a hypervirulent clinical Mtb isolate as well. In silico analysis of ADMET properties showed that the evaluated chalcones displayed satisfactory pharmacokinetic parameters. In conclusion, the obtained data demonstrate that at least two of the studied chalcones, compounds 4 and 5, are promising antimycobacterial and anti-inflammatory agents, especially focusing on an anti-tuberculosis dual treatment approach.

Identification of small-molecule inhibitors of the human S100B-p53 interaction and evaluation of their activity in human melanoma cells

The interaction between human S100 calcium-binding protein B (S100B) and the tumor suppressor protein p53 is considered to be a possible therapeutic target for malignant melanoma. To identify potent inhibitors of this interaction, we screened a fragment library of compounds by means of a fluorescence-based competition assay involving the S100B-binding C-terminal peptide of p53. Using active compounds from the fragment library as query compounds, we constructed a focused library by means of two-dimensional similarity searching of a large database. This simple, unbiased method allowed us to identify several inhibitors of the S100B-p53 interaction, and we elucidated preliminary structure-activity relationships. One of the identified compounds had the potential to inhibit the S100B-p53 interaction in melanoma cells.

Potential conformational heterogeneity of p53 bound to S100B(ββ)

The negative regulatory domain (NRD) of the p53 tumor suppressor is intrinsically disordered. It contains several posttranslational modification (PTM) sites that are important for regulation of p53 activity. Calcium-dependent binding of dimeric S100B(ββ) to p53-NRD blocks access to these PTM sites and disrupts the p53 tetramer to inhibit p53 activation. Previous nuclear magnetic resonance (NMR) structural studies have suggested that p53-NRD folds into a stable helix upon binding to S100B(ββ). Intriguingly, despite the well-converged and stably folded nature of the NMR structure ensemble, experimentally resolved intermolecular nuclear Overhauser enhancements (NOEs) are extremely weak; most have 5- to 6-Å upper bounds, and mainly involve the C-terminal segment of p53-NRD. Such a systematic lack of strong intermolecular NOEs could suggest that the p53/S100B(ββ) interface is more dynamic than currently believed. Indeed, extensive atomistic simulations in explicit solvent (with 1.0μs total effective sampling) revealed large heterogeneity in the S100B(ββ)-bound conformation of p53-NRD. Helix unwinding at the C-terminus allows key hydrophobic residues (Leu383 and Phe385) to make more extensive intermolecular contacts, whereas the highly helical N-terminus displays substantial flexibility in packing with S100B(ββ). Importantly, the predicted heterogeneous ensemble as a whole is highly consistent with experimental intermolecular NOEs, although many conformational sub-states coexist and individual sub-states satisfy only subsets of the NOE restraints. Furthermore, the simulated ensemble provides similar shielding of key PTM sites to support p53 inhibition. This study not only provides new insights into the structural basis of the p53/S100B(ββ) recognition but also highlights the importance of recognizing dynamic complexes in structural studies of intrinsically disordered protein interactions.

Molecular dynamic simulation insights into the normal state and restoration of p53 function

As a tumor suppressor protein, p53 plays a crucial role in the cell cycle and in cancer prevention. Almost 50 percent of all human malignant tumors are closely related to a deletion or mutation in p53. The activity of p53 is inhibited by over-active celluar antagonists, especially by the over-expression of the negative regulators MDM2 and MDMX. Protein-protein interactions, or post-translational modifications of the C-terminal negative regulatory domain of p53, also regulate its tumor suppressor activity. Restoration of p53 function through peptide and small molecular inhibitors has become a promising strategy for novel anti-cancer drug design and development. Molecular dynamics simulations have been extensively applied to investigate the conformation changes of p53 induced by protein-protein interactions and protein-ligand interactions, including peptide and small molecular inhibitors. This review focuses on the latest MD simulation research, to provide an overview of the current understanding of interactions between p53 and its partners at an atomic level.

Modeling the relationship between the p53 C-terminal domain and its binding partners using molecular dynamics

Fifty percent of all cancer cases result from mutations of the TP53 gene, which encodes the tumor suppressor p53, and it is hypothesized that the p53-mediated checkpoint pathway is compromised in most of the remaining cases. The p53 C-terminal domain (CTD) is an important site of p53 regulation but by nature is difficult to study, as it is intrinsically disordered. In this study, we performed molecular dynamics simulations on the p53 CTD and five known regulatory binding partners. We identified distinct trends in fluctuation within and around the p53 CTD binding site on each partner demonstrating a behavior that facilitates association. Further, we present evidence that the size of the hydrophobic pocket in each p53 CTD binding site governs the secondary structure of the p53 CTD when in the bound state. This information will be useful for predicting new binding partners for the p53 CTD, identifying interacting regions within other known partners, and discovering inhibitors that provide additional points of control over p53 activity.

Insight into a novel p53 single point mutation (G389E) by Molecular Dynamics Simulations

The majority of inactivating mutations of p53 reside in the central core DNA binding domain of the protein. In this computational study, we investigated the structural effects of a novel p53 mutation (G389E), identified in a patient with congenital adrenal hyperplasia, which is located within the extreme C-terminal domain (CTD) of p53, an unstructured, flexible region (residues 367–393) of major importance for the regulation of the protein. Based on the three-dimensional structure of a carboxyl-terminal peptide of p53 in complex with the S100B protein, which is involved in regulation of the tumor suppressor activity, a model of wild type (WT) and mutant extreme CTD was developed by molecular modeling and molecular dynamics simulation. It was found that the G389E amino acid replacement has negligible effects on free p53 in solution whereas it significantly affects the interactions of p53 with the S100B protein. The results suggest that the observed mutation may interfere with p53 transcription activation and provide useful information for site-directed mutagenesis experiments.