Resolving the Structure of a Guanine Quadruplex in TMPRSS2 Messenger RNA by Circular Dichroism and Molecular Modeling.

The presence of a guanine quadruplex in the opening reading frame of the messenger RNA coding for the transmembrane serine protease 2 (TMPRSS2) may pave the way to original anticancer and host-oriented antiviral strategy. Indeed, TMPRSS2 in addition to being overexpressed in different cancer types, is also related to the infection of respiratory viruses, including SARS-CoV-2, by promoting the cellular and viral membrane fusion through its proteolytic activity. The design of selective ligands targeting TMPRSS2 messenger RNA requires a detailed knowledge, at atomic level, of its structure. Therefore, we have used an original experimental-computational protocol to predict the first resolved structure of the parallel guanine quadruplex secondary structure in the RNA of TMPRSS2, which shows a rigid core flanked by a flexible loop. This represents the first atomic scale structure of the guanine quadruplex structure present in TMPRSS2 messenger RNA.

Novel half Salphen cobalt(III) complexes: synthesis, DNA binding and anticancer studies.

While platinum(II)-based drugs continue to be employed in cancer treatments, the escalating occurrence of severe side effects has spurred researchers to explore novel sources for potential therapeutic agents. Notably, cobalt(III) has emerged as a subject of considerable interest due to its ubiquitous role in human physiology. Several studies investigating the anticancer effects of Salphen complexes derived from cobalt(III) have unveiled intriguing antiproliferative properties. In a bid to enhance our understanding of this class of compounds, we synthesized and characterized two novel half Salphen cobalt(III) complexes. Both compounds exhibited notable stability, even in the presence of physiologically relevant concentrations of glutathione. The application of spectroscopic and computational methodologies unravelled their interactions with duplex and G4-DNAs, suggesting an external binding affinity for these structures, with preliminary indications of selectivity trends. Importantly, antiproliferative assays conducted on 3D cultured SW-1353 cancer cells unveiled a compelling anticancer activity at low micromolar concentrations, underscoring the potential therapeutic efficacy of this novel class of cobalt(III) complexes.

How the Metal Ion Affects the 1H NMR Chemical Shift Values of Schiff Base Metal Complexes: Rationalization by DFT Calculations.

The chemical shift (CS) values obtained by 1H NMR spectroscopy for the hydrogen atoms of a tetradentate N2O2-substituted Salphen ligand (H2L1) are differently shifted in its complexes of nickel(II), palladium(II), platinum(II), and zinc(II), all bearing the same charge on the metal ions. To rationalize the observed trends, DFT calculations have been performed in the implicit d6-DMSO solvent in terms of the electronic effects induced by the metal ion and of the nature and strength of the metal-N and metal-O bonds. Overall, the results obtained point out that, in the complexes involving group 10 elements, the CS values show the greater shift when considering the two hydrogen atoms at a shorter distance from the coordinated metal center and follow the decreasing metal charge in the order Ni > Pd > Pt. This trend suggests a more covalent character of the ligand-metal bonds with the increase of the metal atomic number. Furthermore, a slightly poorer agreement between experimental and calculated data is observed in the presence of the nickel(II) ion. Such discrepancy is explained by the formation of stacked oligomers, aimed at minimizing the repulsive interactions with the polar DMSO solvent.

Mechanism of the Covalent Inhibition of Human Transmembrane Protease Serine 2 as an Original Antiviral Strategy.

The Transmembrane Protease Serine 2 (TMPRSS2) is a human enzyme which is involved in the maturation and post-translation of different proteins. In addition to being overexpressed in cancer cells, TMPRSS2 plays a further fundamental role in favoring viral infections by allowing the fusion of the virus envelope with the cellular membrane, notably in SARS-CoV-2. In this contribution, we resort to multiscale molecular modeling to unravel the structural and dynamical features of TMPRSS2 and its interaction with a model lipid bilayer. Furthermore, we shed light on the mechanism of action of a potential inhibitor (nafamostat), determining the free-energy profile associated with the inhibition reaction and showing the facile poisoning of the enzyme. Our study, while providing the first atomistically resolved mechanism of TMPRSS2 inhibition, is also fundamental in furnishing a solid framework for further rational design targeting transmembrane proteases in a host-directed antiviral strategy.

Cancer-Related Mutations Alter RNA-Driven Functional Cross-Talk Underlying Premature-Messenger RNA Recognition by Splicing Factor SF3b.

The pillar of faithful premature-messenger (pre-mRNA) splicing is the precise recognition of key intronic sequences by specific splicing factors. The heptameric splicing factor 3b (SF3b) recognizes the branch point sequence (BPS), a key part of the 3' splice site. SF3b contains SF3B1, a protein holding recurrent cancer-associated mutations. Among these, K700E, the most-frequent SF3B1 mutation, triggers aberrant splicing, being primarily implicated in hematologic malignancies. Yet, K700E and the BPS recognition site are 60 Å apart, suggesting the existence of an allosteric cross-talk between the two distal spots. Here, we couple molecular dynamics simulations and dynamical network theory analysis to unlock the molecular terms underpinning the impact of SF3b splicing factor mutations on pre-mRNA selection. We establish that by weakening and remodeling interactions of pre-mRNA with SF3b, K700E scrambles RNA-mediated allosteric cross-talk between the BPS and the mutation site. We propose that the altered allostery contributes to cancer-associated missplicing by mutated SF3B1. This finding broadens our comprehension of the elaborate mechanisms underlying pre-mRNA metabolism in eukaryotes.

The avidin-theophylline complex: A structural and computational study.

The interaction between avidin and its counterpart biotin is one of central importance in biology and has been reproposed and studied at length. However, the binding pocket of avidin is prone to promiscuous binding, able to accommodate even non-biotinylated ligands. Comprehending the factors that distinguish the extremely strong interaction with biotin to other ligands is an important step to fully picture the thermodynamics of these low-affinity complexes. Here, we present the complex between chicken white egg avidin and theophylline (TEP), the xanthine derivative used in the therapy of asthma. In the crystal structure, TEP lies in the biotin-binding pocket with the same orientation and planarity of the aromatic ring of 8-oxodeoxyguanosine. Indeed, its affinity for avidin measured by isothermal titration calorimetry is in the same µM range as those obtained for the previously characterized nucleoside derivatives. By the use of molecular dynamic simulations, we have investigated the most important intermolecular interactions occurring in the avidin-TEP binding pocket and compared them with those obtained for the avidin 8-oxodeoxyguanosine and avidin-biotin complexes. These results testify the capability of avidin to complex purely aromatic molecules.

Predicting the Three-Dimensional Structure of the c-KIT Proto-Oncogene Promoter and the Dynamics of Its Strongly Coupled Guanine Quadruplexes.

Guanine quadruplexes (G4s) play essential protective and regulatory roles within cells, influencing gene expression. In several gene-promoter regions, multiple G4-forming sequences are in close proximity and may form three-dimensional arrangements. We analyze the interplay among the three neighboring G4s in the c-KIT proto-oncogene promoter (WK1, WSP, and WK2). We highlight that the three G4s are structurally linked and their cross-talk favors the formation of a parallel structure for WSP. Relying on all-atom molecular dynamic simulations exceeding the µs time scale and using enhanced sampling methods, we provide the first computationally resolved structure of a well-organized G4 cluster in the promoter of a crucial gene involved in cancer development. Our results indicate that neighboring G4s influence their mutual three-dimensional arrangement and provide a powerful tool to predict and interpret complex DNA structures that can ultimately be used as a starting point for drug discovery.

Switching from Aromatase Inhibitors to Dual Targeting Flavonoid-Based Compounds for Breast Cancer Treatment.

Despite the significant outcomes attained by scientific research, breast cancer (BC) still represents the second leading cause of death in women. Estrogen receptor-positive (ER+) BC accounts for the majority of diagnosed BCs, highlighting the disruption of estrogenic signalling as target for first-line treatment. This goal is presently pursued by inhibiting aromatase (AR) enzyme or by modulating Estrogen Receptor (ER) α. An appealing strategy for fighting BC and reducing side effects and resistance issues may lie in the design of multifunctional compounds able to simultaneously target AR and ER. In this paper, previously reported flavonoid-related potent AR inhibitors were suitably modified with the aim of also targeting ERα. As a result, homoisoflavone derivatives 3b and 4a emerged as well-balanced submicromolar dual acting compounds. An extensive computational study was then performed to gain insights into the interactions the best compounds established with the two targets. This study highlighted the feasibility of switching from single-target compounds to balanced dual-acting agents, confirming that a multi-target approach may represent a valid therapeutic option to counteract ER+ BC. The homoisoflavone core emerged as a valuable natural-inspired scaffold for the design of multifunctional compounds.

A Novel Peptide with Antifungal Activity from Red Swamp Crayfish Procambarus clarkii.

The defense system of freshwater crayfish Procambarus clarkii as a diversified source of bioactive molecules with antimicrobial properties was studied. Antimicrobial activity of two polypeptide-enriched extracts obtained from hemocytes and hemolymph of P. clarkii were assessed against Gram positive (Staphylococcus aureus, Enterococcus faecalis) and Gram negative (Pseudomonas aeruginosa, Escherichia coli) bacteria and toward the yeast Candida albicans. The two peptide fractions showed interesting MIC values (ranging from 11 to 700 µg/mL) against all tested pathogens. Polypeptide-enriched extracts were further investigated using a high-resolution mass spectrometry and database search and 14 novel peptides were identified. Some peptides and their derivatives were chemically synthesized and tested in vitro against the bacterial and yeast pathogens. The analysis identified a synthetic derivative peptide, which showed an interesting antifungal (MIC and MFC equal to 31.2 µg/mL and 62.5 µg/mL, respectively) and antibiofilm (BIC50 equal to 23.2 µg/mL) activities against Candida albicans and a low toxicity in human cells.

Anticancer Activity, Reduction Mechanism and G-Quadruplex DNA Binding of a Redox-Activated Platinum(IV)-Salphen Complex.

Aiming at reducing the unselective cytotoxicity of Pt(II) chemotherapeutics, a great deal of effort has been concentrated into the design of metal-containing drugs with different anticancer mechanisms of action. Inert Pt(IV) prodrugs have been proposed to be a valid alternative as they are activated by reduction directly into the cell releasing active Pt(II) species. On the other hand, a promising strategy for designing metallodrugs is to explore new potential biological targets rather than canonical B-DNA. G-quadruplex nucleic acid, obtained by self-assembly of guanine-rich nucleic acid sequences, has recently been considered an attractive target for anticancer drug design. Therefore, compounds capable of binding and stabilizing this type of DNA structure would be greatly beneficial in anticancer therapy. Here, computational analysis reports the mechanism of action of a recently synthesized Pt(IV)-salphen complex conjugating the inertness of Pt(IV) prodrugs with the ability to bind G-quadruplexes of the corresponding Pt(II) complex. The reduction mechanism of the Pt(IV) complex with a biological reducing agent was investigated in depth by means of DFT, whereas classical MD simulations were carried out to shed light into the binding mechanism of the released Pt(II) complex. The results show that the Pt(IV) prodrug may be reduced by both inner- and outer-sphere mechanisms, and the active Pt(II) complex, as a function of its protonation state, stabilizes the G-quadruplex DNA prevalently, either establishing π-stacking interactions with the terminal G-tetrad or through electrostatic interactions along with H-bonds formation.

Single-digit nanomolar inhibitors lock the aromatase active site via a dualsteric targeting strategy.

The most frequently diagnosed breast cancer (BC) type in women expresses estrogen receptor (ER) and depends on estrogens for its growth, being classified as ER positive (ER+). The gold standard therapy for the treatment of this tumor relies on the inhibition of the aromatase enzyme, which catalyzes estrogen biosynthesis. Despite the clinical success of current aromatase inhibitors (AIs), after prolonged therapeutic regimens, BC ER + patients experience acquired resistance and disease relapse. This points up the urgent need for a newer generation of AIs able to overcome resistance issues, while mitigating toxicity and side effects of current therapies. Here we performed the synthesis, biological evaluation, and extensive structural characterization by advanced molecular simulation methods of a new generation of dualsteric non-steroidal AIs, which simultaneously target the enzyme's active and allosteric sites. Notably, 3d, the most active AI of the series, exhibits a single-digit nM potency (IC50 2 nM). A detailed inspection of its binding mode reveals that the ancillary alkoxy chain predatorily takes advantage of the small hydrophobic cavities lining the allosteric site, triggering a remodeling of its residues and completely sealing the active site access-channel. As a result, the inhibitor is effectively locked in. This study sets a conceptual basis to develop a new generation of AIs exploiting a dualsteric targeting strategy.

Role of computational and structural biology in the development of small-molecule modulators of the spliceosome.

INTRODUCTION: RNA splicing is a pivotal step of eukaryotic gene expression during which the introns are excised from the precursor (pre-)RNA and the exons are joined together to form mature RNA products (i.e a protein-coding mRNA or long non-coding (lnc)RNAs). The spliceosome, a complex ribonucleoprotein machine, performs pre-RNA splicing with extreme precision. Deregulated splicing is linked to cancer, genetic, and neurodegenerative diseases. Hence, the discovery of small-molecules targeting core spliceosome components represents an appealing therapeutic opportunity. AREA COVERED: Several atomic-level structures of the spliceosome and distinct splicing-modulators bound to its protein/RNA components have been solved. Here, we review recent advances in the discovery of small-molecule splicing-modulators, discuss opportunities and challenges for their therapeutic applicability, and showcase how structural data and/or all-atom simulations can illuminate key facets of their mechanism, thus contributing to future drug-discovery campaigns. EXPERT OPINION: This review highlights the potential of modulating pre-RNA splicing with small-molecules, and anticipates how the synergy of computer and wet-lab experiments will enrich our understanding of splicing regulation/deregulation mechanisms. This information will aid future structure-based drug-discovery efforts aimed to expand the currently limited portfolio of selective splicing-modulators.

Molecular Basis of SARS-CoV-2 Nsp1-Induced Immune Translational Shutdown as Revealed by All-Atom Simulations.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic represents the most severe global health crisis in modern human history. One of the major SARS-CoV-2 virulence factors is nonstructural protein 1 (Nsp1), which, outcompeting with the binding of host mRNA to the human ribosome, triggers a translation shutdown of the host immune system. Here, microsecond-long all-atom simulations of the C-terminal portion of the SARS-CoV-2/SARS-CoV Nsp1 in complex with the 40S ribosome disclose that SARS-CoV-2 Nsp1 has evolved from its SARS-CoV ortholog to more effectively hijack the ribosome by undergoing a critical switch of Q/E158 and E/Q159 residues that perfects Nsp1's interactions with the ribosome. Our outcomes offer a basis for understanding the sophisticated mechanisms underlying SARS-CoV-2 diversion and exploitation of human cell components to its deadly purposes.

Investigating the Molecular Mechanism of H3B-8800: A Splicing Modulator Inducing Preferential Lethality in Spliceosome-Mutant Cancers.

The SF3B1 protein, part of the SF3b complex, recognizes the intron branch point sequence of precursor messenger RNA (pre-mRNA), thus contributing to splicing fidelity. SF3B1 is frequently mutated in cancer and is the target of distinct families of splicing modulators (SMs). Among these, H3B-8800 is of particular interest, as it induces preferential lethality in cancer cells bearing the frequent and highly pathogenic K700E SF3B1 mutation. Despite the potential of H3B-8800 to treat myeloid leukemia and other cancer types hallmarked by SF3B1 mutations, the molecular mechanism underlying its preferential lethality towards spliceosome-mutant cancer cells remains elusive. Here, microsecond-long all-atom simulations addressed the binding/dissociation mechanism of H3B-8800 to wild type and K700E SF3B1-containing SF3b (K700ESB3b) complexes at the atomic level, unlocking that the K700E mutation little affects the thermodynamics and kinetic traits of H3B-8800 binding. This supports the hypothesis that the selectivity of H3B-8800 towards mutant cancer cells is unrelated to its preferential targeting of K700ESB3b. Nevertheless, this set of simulations discloses that the K700E mutation and H3B-8800 binding affect the overall SF3b internal motion, which in turn may influence the way SF3b interacts with other spliceosome components. Finally, we unveil the existence of a putative druggable SF3b pocket in the vicinity of K700E that could be harnessed in future rational drug-discovery efforts to specifically target mutant SF3b.

Balanced dual acting compounds targeting aromatase and estrogen receptor α as an emerging therapeutic opportunity to counteract estrogen responsive breast cancer.

Breast Cancer (BC) is a leading cause of death in women, currently affecting 13% of female population worldwide. First-line clinical treatments against Estrogen Receptor positive (ER+) BC rely on suppressing estrogen production, by inhibiting the aromatase (AR) enzyme, or on blocking estrogen-dependent pro-oncogenic signaling, by targeting Estrogen Receptor (ER) α with selective Modulators/Degraders (SERMs/SERDs). The development of dual acting molecules targeting AR and ERα represents a tantalizing alternative strategy to fight ER + BC, reducing the incidence of adverse effects and resistance onset that limit the effectiveness of these gold-standard therapies. Here, in silico design, synthesis, biological evaluation and an atomic-level characterization of the binding and inhibition mechanism of twelve structurally related drug-candidates enable the discovery of multiple compounds active on both AR and ERα in the sub-µM range. The best drug-candidate 3a displayed a balanced low-nanomolar IC50 towards the two targets, SERM activity and moderate selectivity towards a BC cell line. Moreover, most of the studied compounds reduced ERα levels, suggesting a potential SERD activity. This study dissects the key structural traits needed to obtain optimal dual acting drug-candidates, showing that multitarget compounds may be a viable therapeutic option to counteract ER + BC.

Allosteric Cross-Talk among Spike's Receptor-Binding Domain Mutations of the SARS-CoV-2 South African Variant Triggers an Effective Hijacking of Human Cell Receptor.

The rapid and relentless emergence of novel highly transmissible SARS-CoV-2 variants, possibly decreasing vaccine efficacy, currently represents a formidable medical and societal challenge. These variants frequently hold mutations on the Spike protein's receptor-binding domain (RBD), which, binding to the angiotensin-converting enzyme 2 (ACE2) receptor, mediates viral entry into host cells. Here, all-atom molecular dynamics simulations and dynamical network theory of the wild-type and mutant RBD/ACE2 adducts disclose that while the N501Y mutation (UK variant) enhances the Spike's binding affinity toward ACE2, the concomitant N501Y, E484K, and K417N mutations (South African variant) aptly adapt to increase SARS-CoV-2 propagation via a two-pronged strategy: (i) effectively grasping ACE2 through an allosteric signaling between pivotal RBD structural elements and (ii) impairing the binding of antibodies elicited by infected or vaccinated patients. This information unlocks the molecular terms and evolutionary strategies underlying the increased virulence of emerging SARS-CoV-2 variants, setting the basis for developing the next-generation anti-COVID-19 therapeutics.

Frontiers of metal-coordinating drug design.

Introduction: The occurrence of metal ions in biomolecules is required to exert vital cellular functions. Metal-containing biomolecules can be modulated by small-molecule inhibitors targeting their metal-moiety. As well, the discovery of cisplatin ushered the rational discovery of metal-containing-drugs. The use of both drug types exploiting metal-ligand interactions is well established to treat distinct pathologies. Therefore, characterizing and leveraging metal-coordinating drugs is a pivotal, yet challenging, part of medicinal chemistry.Area covered: Atomic-level simulations are increasingly employed to overcome the challenges met by traditional drug-discovery approaches and to complement wet-lab experiments in elucidating the mechanisms of drugs' action. Multiscale simulations, allow deciphering the mechanism of metal-binding inhibitors and metallo-containing-drugs, enabling a reliable description of metal-complexes in their biological environment. In this compendium, the authors review selected applications exploiting the metal-ligand interactions by focusing on understanding the mechanism and design of (i) inhibitors targeting iron and zinc-enzymes, and (ii) ruthenium and gold-based anticancer agents targeting the nucleosome and aquaporin protein, respectively.Expert opinion: The showcased applications exemplify the current role and the potential of atomic-level simulations and reveal how their synergic use with experiments can contribute to uncover fundamental mechanistic facets and exploit metal-ligand interactions in medicinal chemistry.

Molecular Mechanisms of the Blockage of Glioblastoma Motility.

Glioblastoma (GBM) is the most common and lethal brain tumor. GBM has a remarkable degree of motility and is able to infiltrate the healthy brain. In order to perform a rationale-based drug-repositioning study, we have used known inhibitors of two small Rho GTPases, Rac1 and Cdc42, which are upregulated in GBM and are involved in the signaling processes underlying the orchestration of the cytoskeleton and cellular motility. The selected inhibitors (R-ketorolac and ML141 for Cdc42 and R-ketorolac and EHT 1864 for Rac1) have been successfully employed to reduce the infiltration propensity of GBM in live cell imaging studies. Complementarily, all-atom simulations have elucidated the molecular basis of their inhibition mechanism, identifying the binding sites targeted by the inhibitors and dissecting their impact on the small Rho GTPases' function. Our results demonstrate the potential of targeting the Rac1 and Cdc42 proteins with small molecules to contrast GBM infiltration growth and supply precious information for future drug discovery studies aiming to fight GBM and other infiltrative cancer types.

Computing Metal-Binding Proteins for Therapeutic Benefit.

Over one third of biomolecules rely on metal ions to exert their cellular functions. Metal ions can play a structural role by stabilizing the structure of biomolecules, a functional role by promoting a wide variety of biochemical reactions, and a regulatory role by acting as messengers upon binding to proteins regulating cellular metal-homeostasis. These diverse roles in biology ascribe critical implications to metal-binding proteins in the onset of many diseases. Hence, it is of utmost importance to exhaustively unlock the different mechanistic facets of metal-binding proteins and to harness this knowledge to rationally devise novel therapeutic strategies to prevent or cure pathological states associated with metal-dependent cellular dysfunctions. In this compendium, we illustrate how the use of a computational arsenal based on docking, classical, and quantum-classical molecular dynamics simulations can contribute to extricate the minutiae of the catalytic, transport, and inhibition mechanisms of metal-binding proteins at the atomic level. This knowledge represents a fertile ground and an essential prerequisite for selectively targeting metal-binding proteins with small-molecule inhibitors aiming to (i) abrogate deregulated metal-dependent (mis)functions or (ii) leverage metal-dyshomeostasis to selectively trigger harmful cells death.

All-atom simulations to studying metallodrugs/target interactions.

Metallodrugs are extensively used to treat and diagnose distinct disease types. The unique physical-chemical properties of metal ions offer tantalizing opportunities to tailor effective scaffolds for selectively targeting specific biomolecules. Modern experimental techniques have collected a large body of structural data concerning the interactions of metallodrugs with their biomolecular targets, although being unable to exhaustively assess the molecular basis of their mechanism of action. In this scenario, the complementary use of accurate computational methods allows uncovering the minutiae of metallodrugs/targets interactions and their underlying mechanism of action at an atomic-level of detail. This knowledge is increasingly perceived as an invaluable requirement to rationally devise novel and selective metallodrugs. Building on literature studies, selected largely from the last 2 years, this compendium encompasses a cross-section of the current role, advances, and challenges met by computer simulations to decipher the mechanistic intricacies of prototypical metallodrugs.