Discovery Of Bioactive Molecules Research Articles

Design, synthesis, and in vitro and in vivo biological evaluation of dihydroartemisinin derivatives as potent anti-cancer agents with ferroptosis-inducing and apoptosis-activating properties

Natural products play a pivotal role in drug development, including their direct use as pharmaceuticals and their structural modification, yielding molecules with enhanced therapeutic potential. The discovery of bioactive molecules, lead compounds, and novel drugs is intrinsically linked to the structural optimization of natural products. In this study, forty-one derivatives of dihydroartemisinin (DHA) were synthesized by incorporating fragments with anti-tumour activity via molecular hybridization, and assessed for their anti-proliferative activity against human cancer cell lines (A549, Bel-7402, HCT-116, and SW620) and normal human liver cells (LO2). Most derivatives exhibited superior anti-proliferative activity compared to DHA. Notably, compound A3, featuring a 4-Cl phenyl carbamate moiety, demonstrated significant anti-proliferative activity against HCT-116 cells with an IC50 of 0.31 μM, making it 16-fold more potent than DHA (IC50 = 5.10 μM). The anti-proliferative mechanism did not involve cytotoxicity (SI = 54.13), indicating its superior safety profile compared to DHA (SI = 1.65).Further mechanistic studies revealed that compound A3 inhibits HCT-116 cell proliferation by modulating the expression of PI3K/AKT/mTOR and STAT3 proteins. STAT3 downregulation represses the expression of the critical ferroptosis protein glutathione peroxidase 4 (GPX4), aggravating the accumulation of reactive oxygen species (ROS) and depletion of glutathione (GSH). This redox imbalance triggers and accelerates ferroptosis. Additionally, A3 also induces apoptosis by damaging mitochondria and influencing MAPK signaling. Compound A3 arrested cells in the G2/M phase by regulating p53 expression. In an HCT-116 xenograft mouse model, compound A3 exhibited significant anti-cancer efficacy, with a tumor growth inhibition rate of 58.7 %. Therefore, compound A3 thus has the potential to serve as a lead compound for the development of new anti-tumor drugs.

Transcriptomic and protein analysis of Trametes versicolor interacting with a Hypholoma fasciculare mycelium foraging in soil

The decomposition of large woody material is an important process in forest carbon cycling and nutrient release. Cord-forming saprotrophic basidiomycete fungi create non-resource limited mycelial networks between decomposing branches, logs and tree stumps on the forest floor where colonisation of new resources is often associated with the replacement of incumbent decay communities. To date, antagonism experiments have mostly placed competing fungi in direct contact, while in nature cord-forming saprobes encounter colonised wood as mycelia in a network. Transcriptomic and peptide analyses were conducted on soil-based microcosms were foraging cord-forming Hypholoma fasciculare encountered a wood block colonised by Trametes versicolor. Protein turnover featured strongly for both species and genes putatively involved in secondary metabolite production were identified. H. fasciculare demonstrated an exploitative profile with increased transcription of genes associated with carbohydrate metabolism and RNA and ribosome processing. T. versicolor showed a shift in signalling, energy generation and amino acid metabolism. By identifying genes and proteins putatively involved in this fungal interaction, this work may help guide the discovery of bioactive molecules and mechanisms underpinning community succession.

Discovery of leaderless bacteriocins through genome mining

The emergence of antimicrobial resistance has prompted the search for antibiotic alternatives, and bacteriocins have emerged as promising alternatives to traditional antibiotics. Bacteriocins refer to a large family of antimicrobial peptides that are ribosomally synthesized by bacteria. The class of bacteriocins called leaderless bacteriocins is a unique group distinguished by the absence of a leader peptide and post-translational modifications, and hence their linear structures. Members of this class have been discovered by a traditional approach of screening bacterial isolates for antimicrobial activity and subsequently identifying the active molecule. This study presents the first extensive genome mining approach for leaderless bacteriocin discovery. In detail, we performed a precursor peptide-based genome mining to search for novel leaderless bacteriocins. Over 400 producer organisms with putative leaderless bacteriocins encoded in their genomes were identified, revealing the widespread occurrence of leaderless bacteriocins. Among the identified putative bacteriocins, 122 are unique peptide sequences. To validate our genome mining results, a novel bacteriocin we termed miticin, encoded in the genome of Streptococcus mitis, was obtained through chemical synthesis. Miticin was indeed found to be active, specifically against a wide range of Gram-positive bacteria. With this study, we provide the foundation for exploring a repertoire of potential novel antimicrobials identified through an innovative bioinformatics-guided approach, representing a significant leap compared to traditional screening and isolation methods for the discovery of bioactive molecules, specifically leaderless bacteriocins.

Chemical Evolution and Biological Evaluation of Natural Products for Efficient Therapy of Acute Lung Injury.

Acute lung injury (ALI) is one of the most common complications in COVID-19 and also a syndrome of acute respiratory failure with high mortality rates, but lacks effective therapeutic drugs. Natural products provide inspiration and have proven to be the most valuable source for bioactive molecule discovery. In this study, the chemical evolution of the natural product Tanshinone IIA (Tan-IIA) to achieve a piperidine-fused scaffold through a synthetic route of pre-activation, multi-component reaction, and post-modification is presented. Through biological evaluation, it is pinpointed that compound 8b is a standout candidate with remarkable anti-inflammation and anti-oxidative stress properties, coupled with low toxicity. The mechanistic study unveils a multifaceted biological profile of 8b and shows that 8b is highly efficient in vivo for the treatment of ALI. Therefore, this work not only provides an effective strategy for the treatment of ALI, but also offers a distinctive natural product-inspired drug discovery.

Cheminformatics and artificial intelligence for accelerating agrochemical discovery.

The global cost-benefit analysis of pesticide use during the last 30 years has been characterized by a significant increase during the period from 1990 to 2007 followed by a decline. This observation can be attributed to several factors including, but not limited to, pest resistance, lack of novelty with respect to modes of action or classes of chemistry, and regulatory action. Due to current and projected increases of the global population, it is evident that the demand for food, and consequently, the usage of pesticides to improve yields will increase. Addressing these challenges and needs while promoting new crop protection agents through an increasingly stringent regulatory landscape requires the development and integration of infrastructures for innovative, cost- and time-effective discovery and development of novel and sustainable molecules. Significant advances in artificial intelligence (AI) and cheminformatics over the last two decades have improved the decision-making power of research scientists in the discovery of bioactive molecules. AI- and cheminformatics-driven molecule discovery offers the opportunity of moving experiments from the greenhouse to a virtual environment where thousands to billions of molecules can be investigated at a rapid pace, providing unbiased hypothesis for lead generation, optimization, and effective suggestions for compound synthesis and testing. To date, this is illustrated to a far lesser extent in the publicly available agrochemical research literature compared to drug discovery. In this review, we provide an overview of the crop protection discovery pipeline and how traditional, cheminformatics, and AI technologies can help to address the needs and challenges of agrochemical discovery towards rapidly developing novel and more sustainable products.

Discovering New Natural Products Using Metabolomics-Based Approaches.

The incessant search for new natural molecules with biological activities has forced researchers in the field of chemistry of natural products to seek different approaches for their prospection studies. In particular, researchers around the world are turning to approaches in metabolomics to avoid high rates of re-isolation of certain compounds, something recurrent in this branch of science. Thanks to the development of new technologies in the analytical instrumentation of spectroscopic and spectrometric techniques, as well as the advance in the computational processing modes of the results, metabolomics has been gaining more and more space in studies that involve the prospection of natural products. Thus, this chapter summarizes the precepts and good practices in the metabolomics of microbial natural products using mass spectrometry and nuclear magnetic resonance spectroscopy, and also summarizes several examples where this approach has been applied in the discovery of bioactive molecules.

New Drug Design Avenues Targeting Alzheimer's Disease by Pharmacoinformatics-Aided Tools.

Neurodegenerative diseases (NDD) have been of great interest to scientists for a long time due to their multifactorial character. Among these pathologies, Alzheimer’s disease (AD) is of special relevance, and despite the existence of approved drugs for its treatment, there is still no efficient pharmacological therapy to stop, slow, or repair neurodegeneration. Existing drugs have certain disadvantages, such as lack of efficacy and side effects. Therefore, there is a real need to discover new drugs that can deal with this problem. However, as AD is multifactorial in nature with so many physiological pathways involved, the most effective approach to modulate more than one of them in a relevant manner and without undesirable consequences is through polypharmacology. In this field, there has been significant progress in recent years in terms of pharmacoinformatics tools that allow the discovery of bioactive molecules with polypharmacological profiles without the need to spend a long time and excessive resources on complex experimental designs, making the drug design and development pipeline more efficient. In this review, we present from different perspectives how pharmacoinformatics tools can be useful when drug design programs are designed to tackle complex diseases such as AD, highlighting essential concepts, showing the relevance of artificial intelligence and new trends, as well as different databases and software with their main results, emphasizing the importance of coupling wet and dry approaches in drug design and development processes.

Great diversity of KSα sequences from bat-associated microbiota suggests novel sources of uncharacterized natural products.

Polyketide synthases (PKSs) are multidomain enzymes in microorganisms that synthesize complex, bioactive molecules. PKS II systems are iterative, containing only a single representative of each domain: ketosynthase alpha (KSn}{}alpha ), ketosynthase beta and the acyl carrier protein. Any gene encoding for one of these domains is representative of an entire PKS II biosynthetic gene cluster (BGC). Bat skin surfaces represent an extreme environment prolific in Actinobacteria that may constitute a source for bioactive molecule discovery. KSn}{}alpha sequences were obtained from culturable bacteria from bats in the southwestern United States. From 467 bat bacterial isolates, we detected 215 (46%) had KSn}{}alpha sequences. Sequencing yielded 210 operational taxonomic units, and phylogenetic placement found 45 (21%) shared <85% homology to characterized metabolites. Additionally, 16 Actinobacteria genomes from the bat microbiome were analyzed for biosynthetic capacity. A range of 69–93% of the BGCs were novel suggesting the bat microbiome may contain valuable uncharacterized natural products. Documenting and characterizing these are important in understanding the susceptibility of bats to emerging infectious diseases, such as white-nose syndrome. Also noteworthy was the relationship between KS n}{}alpha homology and total BGC novelty within each fully sequenced strain. We propose amplification and detection of KSn}{}alpha could predict a strain's global biosynthetic capacity.

Bioactive molecules for regenerative pulp capping.

Since the discovery of bioactive molecules sequestered in dentine, researchers have been exploring ways to harness their activities for dental regeneration. One specific area, discussed in this review, is that of dental-pulp capping. Dental-pulp caps are placed when the dental pulp is exposed due to decay or trauma in an attempt to enhance tertiary dentine deposition. Several materials are used for dental-pulp capping; however, natural biomimetic scaffolds may offer advantages over manufactured materials such as improved aesthetic, biocompatibility and success rate. The present review discusses and appraises the current evidence surrounding biomimetic dental-pulp capping, with a focus on bioactive molecules sequestered in dentine. Molecules covered most extensively in the literature include transforming growth factors (TGF-βs, specifically TGF-β1) and bone morphogenetic proteins (BMPs, specifically BMP-2 and BMP-7). Further studies would need to explore the synergistic use of multiple peptides together with the development of a tailored scaffold carrier. The roles of some of the molecules identified in dentine need to be explored before they can be considered as potential bioactive molecules in a biomimetic scaffold for dental-pulp capping. Future in vivo work needs to consider the inflammatory environment of the dental pulp in pulpal exposures and compare pulp-capping materials.

Synthetic Natural Product Inspired Cyclic Peptides.

Natural products are a bountiful source of bioactive molecules. Unfortunately, discovery of novel bioactive natural products is challenging due to cryptic biosynthetic gene clusters, low titers, and arduous purifications. Herein, we describe SNaPP (Synthetic Natural Product Inspired Cyclic Peptides), a method for identifying NP-inspired bioactive peptides. SNaPP expedites bioactive molecule discovery by combining bioinformatics predictions of nonribosomal peptide synthetases with chemical synthesis of the predicted natural products (pNPs). SNaPP utilizes a recently discovered cyclase, the penicillin binding protein-like cyclase, as the lynchpin for the development of a library of head-to-tail cyclic peptide pNPs. Analysis of 500 biosynthetic gene clusters allowed for identification of 131 novel pNPs. Fifty-one diverse pNPs were synthesized using solid phase peptide synthesis and solution-phase cyclization. Antibacterial testing revealed 14 pNPs with antibiotic activity, including activity against multidrug-resistant Gram-negative bacteria. Overall, SNaPP demonstrates the power of combining bioinformatics predictions with chemical synthesis to accelerate the discovery of bioactive molecules.

Renewed interests in the discovery of bioactive actinomycete metabolites driven by emerging technologies.

Actinomycetes are prolific sources of bioactive molecules. Traditional workflows including bacterial isolation, fermentation, metabolite identification and structure elucidation have resulted in high rates of natural product rediscovery in recent years. Recent advancements in multi-omics techniques have uncovered cryptic gene clusters within the genomes of actinomycetes, potentially introducing vast resources for the investigation of bioactive molecules. While developments in culture techniques have allowed for the fermentation of difficult-to-culture actinomycetes, high-throughput metabolite screening has offered plenary tools to accelerate hits discovery. A variety of new bioactive molecules have been isolated from actinomycetes of unique environmental origins, such as endophytic and symbiotic actinomycetes. Synthetic biology and genome mining have also emerged as new frontiers for the discovery of bioactive molecules. This review covers the highlights of recent developments in actinomycete-derived natural product drug discovery.

Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review.

Scientific and consumer interest in healthy foods (also known as functional foods), nutraceuticals and cosmeceuticals has increased in the recent years, leading to an increased presence of these products in the market. However, the regulations across different countries that define the type of claims that may be made, and the degree of evidence required to support these claims, are rather inconsistent. Moreover, there is also controversy on the effectiveness and biological mode of action of many of these products, which should undergo an exhaustive approval process to guarantee the consumer rights. Computational approaches constitute invaluable tools to facilitate the discovery of bioactive molecules and provide biological plausibility on the mode of action of these products. Indeed, methodologies like QSAR, docking or molecular dynamics have been used in drug discovery protocols for decades and can now aid in the discovery of bioactive food components. Thanks to these approaches, it is possible to search for new functions in food constituents, which may be part of our daily diet, and help to prevent disorders like diabetes, hypercholesterolemia or obesity. In the present manuscript, computational studies applied to this field are reviewed to illustrate the potential of these approaches to guide the first screening steps and the mechanistic studies of nutraceutical, cosmeceutical and functional foods.Graphical

Marine microorganisms as an untapped source of bioactive compounds.

The search for novel biologically active molecules has extended to the screening of organisms associated with less explored environments. In this sense, Oceans, which cover nearly the 67% of the globe, are interesting ecosystems characterized by a high biodiversity that is worth being explored. As such, marine microorganisms are highly interesting as promising sources of new bioactive compounds of potential value to humans. Some of these microorganisms are able to survive in extreme marine environments and, as a result, they produce complex molecules with unique biological interesting properties for a wide variety of industrial and biotechnological applications. Thus, different marine microorganisms (fungi, myxomycetes, bacteria, and microalgae) producing compounds with antioxidant, antibacterial, apoptotic, antitumoral and antiviral activities have been already isolated. This review compiles and discusses the discovery of bioactive molecules from marine microorganisms reported from 2018 onwards. Moreover, it highlights the huge potential of marine microorganisms for obtaining highly valuable bioactive compounds.

Cubane, Bicyclo[1.1.1]pentane and Bicyclo[2.2.2]octane: Impact and Thermal Sensitiveness of Carboxyl-, Hydroxymethyl- and Iodo-substituents.

With the burgeoning interest in cage motifs for bioactive molecule discovery, and the recent disclosure of 1,4-cubane-dicarboxylic acid impact sensitivity, more research into the safety profiles of cage scaffolds is required. Therefore, the impact sensitivity and thermal decomposition behavior of judiciously selected starting materials and synthetic intermediates of cubane, bicyclo[1.1.1]pentane (BCP), and bicyclo[2.2.2]octane (BCO) were evaluated via hammer test and sealed cell differential scanning calorimetry, respectively. Iodo-substituted systems were found to be more impact sensitive, whereas hydroxymethyl substitution led to more rapid thermodecomposition. Cubane was more likely to be impact sensitive with these substituents, followed by BCP, whereas all BCOs were unresponsive. The majority of derivatives were placed substantially above Yoshida thresholds-a computational indicator of sensitivity.

Triazole Modified Tetraiodothyroacetic Acid Conjugated to Polyethylene Glycol: High Affinity Thyrointegrin αvβ3 Antagonist with Potent Anticancer Activities in Glioblastoma Multiforme.

Discovery of bioactive molecules that target integrins has implicated their role in tumor angiogenesis, tumor growth, metastasis, and other pathological angiogenesis processes. Integrins are members of a family of cell surface receptors that play a critical role in the angiogenesis process. Tetraiodothyroacetic acid (tetrac), a deaminated derivative of l-thyroxine (T4), is a "thyrointegrin" antagonist that blocks the actions of l-triiodothyronine (T3) and T4 with an interaction site that is located at or near the RGD recognition site identified on integrin αvβ3's binding pocket (thyrointegrin αvβ3 receptors). We have enhanced the biological activity of a tetrac-based inhibitor via significantly improving its αvβ3 receptor binding affinity by introducing a triazole ring on the outer ring of tetrac and covalently conjugating to polymer to increase the product's hydrophilicity via PEGylation. The product, P-bi-TAT, was restricted from nuclear translocation and demonstrated high blood brain barrier permeability and retention in contrast to the non-PEG conjugated derivative. Results of biological activity indicated that this macromolecule new chemical entity P-bi-TAT has greater than 400-fold potent integrin αvβ3 affinity versus the parent compound tetrac and has potent anticancer/anti-angiogenesis efficacy against glioblastoma multiforme (GBM). P-bi-TAT administered subcutaneously once daily for 21 days at 1-10 mg/kg mouse body weight resulted in a dose-dependent suppression of GBM tumor growth and viability as monitored with IVIS imaging (P < 0.001). GBM tumors had >95% volume loss and maximal loss of GBM cell viability during the 21 days ON-treatment experiment as well as in the 21 days ON followed by 21 days OFF-treatment experiment (P < 0.001). In conclusion, P-bi-TAT is a promising lead clinical candidate effective in the treatment of human GBM.

Virtual Screening Techniques in Drug Discovery: Review and Recent Applications.

The discovery of bioactive molecules is an expensive and time-consuming process and new strategies are continuously searched for in order to optimize this process. Virtual Screening (VS) is one of the recent strategies that has been explored for the identification of candidate bioactive molecules. The number of new techniques and software that can be applied in this strategy has grown considerably in recent years, so, before their use, it is necessary to understand the basics an also the limitations behind each one to get the most out of them. It is also necessary to assess the real contributions of this strategy so that more significant progress can be made in the future. In this context, this review aims to discuss some important points related to VS, including the use of virtual ligand and biotarget libraries, structurebased and ligand-based VS techniques, as well as to present recent cases where this strategy was successfully applied.

Identification of A Novel Antibacterial Peptide from Atlantic Mackerel belonging to the GAPDH-Related Antimicrobial Family and Its In Vitro Digestibility.

The Atlantic mackerel, Scomber scombrus, is one of the most fished species in the world, but it is still largely used for low-value products, such as bait; mainly for crustacean fishery. This resource could be transformed into products of high value and may offer new opportunities for the discovery of bioactive molecules. Mackerel hydrolysate was investigated to discover antibacterial peptides with biotechnological potential. The proteolytic process generated a hydrolysate composed of 96% proteinaceous compounds with molecular weight lower than 7 kDa. From the whole hydrolysate, antibacterial activity was detected against both Gram-negative and Gram-positive bacteria. After solid phase extraction, purification of the active fraction led to the identification of 4 peptide sequences by mass spectrometry. The peptide sequence N-KVEIVAINDPFIDL-C, called Atlantic Mackerel GAPDH-related peptide (AMGAP), was selected for chemical synthesis to confirm the antibacterial activity and to evaluate its stability through in vitro digestibility. Minimal inhibitory concentrations of AMGAP revealed that Listeria strains were the most sensitive, suggesting potential as food-preservative to prevent bacterial growth. In addition, in vitro digestibility experiments found rapid (after 20 min) and early digestibility (stomach). This study highlights the biotechnological potential of mackerel hydrolysate due to the presence of the antibacterial AMGAP peptide.

Galactosyl and sialyl clusters: synthesis and evaluation against T. cruzi parasite

Abstract The multivalent effect of carbohydrates (glycoclusters) has been explored to study important biological targets and processes involving Trypanosoma cruzi (T. cruzi) infection. Likewise, CuAAC cycloaddition reactions (click chemistry) have been applied as useful strategy in the discovery of bioactive molecules. Hence, we describe the synthesis of 1,2,3-triazole-based tetravalent homoglycoclusters (1–3) and heteroglycoclusters (4 and 5) of d-galactopyranose (C-1 and C-6 positions) and sialic acid (C-2 position) to assess their potential to inhibit T. cruzi cell invasion and also its cell surface trans-sialidase (TcTS). The target compounds were synthesised in good yields (52–75 %) via click chemistry by coupling azidosugars galactopyranose and sialic acid with alkynylated pentaerythritol or tris(hydroxymethyl)-aminomethane (TRIS) scaffolds. T. cruzi cell invasion inhibition assays showed expressive low parasite infection index values (5.3–6.8) for most compounds. However, most glycoclusters proved to be weak TcTS inhibitors at 1 mM (&lt;17 %), except the tetravalent sialic acid 3 (99 % at 1 mM, IC50 450 μM). Therefore, we assume that T. cruzi cell invasion blockage is not due to TcTS inhibition by itself, but rather by other mechanisms involved in this process. In addition, all glycoclusters were not cytotoxic and had significant trypanocidal activity upon parasite survival of amastigote forms.

Challenges and current status of computational methods for docking small molecules to nucleic acids

Since the development of the first docking program in 1982, the use of docking-based in silico screening for potentially bioactive molecule discovery has become a common strategy in academia and pharmaceutical industry. Up until recently, application of docking programs has largely focused on drugs binding to proteins. However, with the discovery of promising drug targets in nucleic acids, including RNA riboswitches, DNA G-quadruplexes, and extended repeats in RNA, there has been greater interests in developing drugs for nucleic acids. However, due to major biochemical and physical differences in charges, binding pockets, and solvation, existing docking programs, developed for proteins, face difficulties when adopted directly for nucleic acids. In this review, we cover the current field of in silico docking to nucleic acids, available programs, as well as challenges faced in the field.

Cyclooctatetraene: A Bioactive Cubane Paradigm Complement.

Cubane was recently validated as a phenyl ring (bio)isostere, but highly strained caged carbocyclic systems lack π character, which is often critical for mediating key biological interactions. This electronic property restriction associated with cubane has been addressed herein with cyclooctatetraene (COT), using known pharmaceutical and agrochemical compounds as templates. COT either outperformed or matched cubane in multiple cases suggesting that versatile complementarity exists between the two systems for enhanced bioactive molecule discovery.