Search Results (125)

Background: Colorectal cancer (CRC) is a prevalent gastrointestinal malignancy, ranking third in incidence and second in cancer-related mortality. Despite therapeutic advances, challenges such as chemotherapy toxicity and drug resistance persist. Thus, there is an urgent need for novel CRC treatments. However, developing new drugs is time-consuming and resource-intensive. As a more efficient approach, drug repurposing offers a promising alternative for discovering new therapies. Methods: In this study, we screened 1068 small molecular compounds from an FDA-approved drug library in CRC cells. Menadione was selected for further study based on its activity profile. Mechanistic analysis included a cell death pathway PCR array, differential gene expression, enrichment, and network analysis. Gene expressions were validated by RT-qPCR. Results: We identified menadione as a potent anti-tumor drug. Menadione induced three programmed cell death (PCD) signaling pathways: necroptosis, apoptosis, and autophagy. Furthermore, we found that the anti-tumor effect induced by menadione in CRC cells was mediated through a key gene: MAPK8. Conclusions: By employing methods of cell biology, molecular biology, and bioinformatics, we conclude that menadione can induce multiple forms of PCD in CRC cells by activating MAPK8, providing a foundation for repurposing the “new use” of the “old drug” menadione in CRC treatment. Full article

Coronavirus disease 2019 (COVID-19) produced devastating health and economic impacts worldwide. While progress has been made in vaccine development, effective antiviral treatments remain limited, particularly those targeting the papain-like protease (PLpro) of SARS-CoV-2. PLpro plays a key role in viral replication and immune evasion, making it an attractive yet underexplored target for drug repurposing. In this study, we combined machine learning, molecular dynamics, and molecular docking to identify potential PLpro inhibitors in existing drugs. We performed long-timescale molecular dynamics simulations on PLpro–ligand complexes at two known binding sites, followed by structural clustering to capture representative structures. These were used for molecular docking, including a training set of 127 compounds and a library of 1107 FDA-approved drugs. A random forest model, trained on the docking scores of the representative conformations, yielded 76.4% accuracy via leave-one-out cross-validation. Applying the model to the drug library and filtering results based on prediction confidence and the applicability domain, we identified five drugs as promising candidates for repurposing for COVID-19 treatment. Our findings demonstrate the power of integrating computational modeling with machine learning to accelerate drug repurposing against emerging viral targets. Full article

Background: Female Sexual Dysfunction (FSD) encompasses a range of conditions that can profoundly impact quality of life and intimate relationships. The primary classifications of FSD include female sexual interest and arousal disorder (FSIAD), genitopelvic pain and penetration disorder (GPPPD), female orgasmic disorder (FOD), and substance or medication-induced sexual dysfunction (SM-ISD). Despite its prevalence, FSD is often underdiagnosed and undertreated. Objectives: This scoping review follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to evaluate the existing literature on both U.S. Food and Drug Administration (FDA)-approved and off-label pharmacotherapies for FSD by study type, outcomes, and limitations. Eligibility Criteria: Eligible studies comprised randomized controlled trials (RCTs), systematic reviews, and cohort studies involving adult women (≥18 years) with any subtype of FSD. These studies assessed pharmacologic interventions against a comparator and reported at least one treatment efficacy outcome. Studies outside this scope were excluded. Sources of Evidence: A 25-year literature search was conducted using PubMed/MEDLINE, the Cochrane Library, reference lists of relevant articles, academic handbooks, and targeted journals. Charting Methods: Three independent reviewers screened and extracted data. Risk of bias was assessed using the Cochrane Risk of Bias Tool. Findings were organized into summary tables and categorized by pharmaceutical agent, pertinent study information, outcomes, and limitations. Results: A total of 44 human-based pharmacologic studies met inclusion criteria. FDA-approved agents were the most thoroughly studied pharmacotherapies. Hormonal, topical, and adjunctive agents demonstrated less robust evidence. Heterogeneity in outcome measures and inadequate long-term data were common limitations. Conclusions: Pharmacologic treatment for FSD shows promise but requires further research. Individualized, multifaceted care is essential for optimizing FSD outcomes. Full article

Rabies, a viral encephalitis caused by rabies virus (RABV), is 100% fatal upon the onset of symptoms. Effective post-exposure prophylaxis (PEP) measures are available, but they are often difficult to access in low-income countries. WHO estimates about 59,000 deaths due to rabies globally, and the majority are contributed by developing countries. Hence, developing drugs for the treatment of post-symptomatic rabies is an urgent and unmet demand. It is worth noting that previous efforts regarding antiviral strategies, such as small-interfering RNA, antibodies and small-molecule inhibitors, against the rabies virus have failed to show efficacy in pre-clinical studies, especially when the virus has reached the central nervous system (CNS). Therefore, drug repurposing seems to be an alternative tool for the development of new anti-rabies drugs. We validated and used a high-throughput, FITC-conjugated antibody-based flow cytometry assay to expedite the identification of repurposable new drug candidates against the RABV. The assay was validated using ribavirin and salinomycin as reference compounds, which showed EC50 values of 10.08 µM and 0.07 µM, respectively. We screened a SelleckChem library comprising 3035 FDA-approved compounds against RABV (CVS-11) at 10 µM concentration. Five compounds (clofazimine, tiamulin, difloxacin, harringtonine and homoharringtonine) were active against RABV, with greater than 90% inhibition. Homoharringtonine (HHT) identified in the present study is active against laboratory-adapted RABV (CVS-11) and clinical isolates of RABV, with an average EC50 of 0.3 µM in both BHK-21 and Neuro-2a cell lines and exhibits post-entry inhibition. Full article

Human topoisomerase III beta (hTOP3B) is a unique and important enzyme in human cells that plays a role in maintaining genome stability, affecting cellular aging, and potentially impacting viral replication. Its dual activity on both DNA and RNA makes it a valuable target for therapeutic interventions. hTOP3B has been shown to be required for the efficient replication of certain positive-sense ssRNA viruses including Dengue. We performed in silico screening of a library comprising drugs that are FDA-approved or undergoing clinical trials as potential drugs to identify potential inhibitors of hTOP3B. The topoisomerase activity assay of the identified virtual hits showed that bemcentinib, a compound known to target the AXL receptor tyrosine kinase, can inhibit hTOP3B relaxation activity. This is the first small molecule shown to inhibit the complete catalytic cycle of hTOP3B for the potential interference of the function of hTOP3B in antiviral application. Additional small molecules that share the N⁵,N³-1H-1,2,4-triazole-3,5-diamine moiety of bemcentinib were synthesized and tested for the inhibition of hTOP3B relaxation activity. Five compounds with comparable IC₅₀ to that of bemcentinib for the inhibition of hTOP3B were identified. These results suggest that the exploration of tyrosine kinase inhibitors and their analogs may allow the identification of novel potential topoisomerase inhibitors. Full article

CB₁ and CB₂ cannabinoid receptors are members of the GPCR superfamily that modulate the effects of endocannabinoids. CB₁ is the most abundant CB receptor in the central nervous system, while CB₂ is present both peripherally and in the brain. CB₂ plays a role in inflammation, as well as neurodegenerative and psychiatric disorders. To identify new ligands for CB₂, we screened a library of FDA-approved drugs for activity at the receptor using a thallium flux assay, resulting in the discovery of the immunosuppressant mycophenolate mofetil as a potent, selective activator of CB₂. Further characterization of the compound confirmed agonist activity in a variety of complementary assays, including PI hydrolysis, cAMP inhibition, and β-arrestin recruitment. Radioligand binding assays established a non-competitive interaction with the site occupied by [³H]CP55,940. CB₂ agonists GW-842,166X and MDA7 were also profiled, revealing that GW-842,166X exhibits a similar activity profile to mycophenolate mofetil, whereas MDA7 presents a distinct profile. These differences provide insight into the complex CB₂ pharmacology impacting preclinical and clinical studies, and ultimately, new treatment strategies for brain disorders. Full article

Background/objectives: In Brazil, the co-circulation of arboviruses—such as dengue, Zika, yellow fever, and Chikungunya viruses—creates a complex epidemiological landscape, drawing attention from health authorities due to high morbidity and mortality rates. Also present in this context is the Mayaro virus (MAYV), a neglected arbovirus, which can also cause severe syndromes and has been expanding beyond its usual endemic areas in northern and central-western Brazil. Epidemiological surveillance measures remain limited, and there are no effective prophylactic strategies or antiviral treatments for this neglected arbovirus. In this study, we evaluated the antiviral activity of commercial and synthetic compounds against MAYV using an image high-throughput screening (iHTS) system. Methods: A total of 52 compounds from an FDA-approved commercial library (Tocriscreen) and 50 other compounds were tested. Results: Seven compounds showed anti-MAYV activity and were non-toxic for the following cell lines: Naringenin, LLA9A, chrysin, and its ester C6. Post-infection treatments with these selected compounds significantly decreased the percentage of infected cells and the release of infectious viral particles in the supernatant. Additionally, anti-MAYV activity of these four selected hits was confirmed using several human cell lines and two different MAYV genotypes. Conclusions: Our results indicate that the iHTS platform is effective for screening anti-MAYV drugs and that four promising compounds can efficiently inhibit MAYV replication in human cell lines. Although in vivo studies are still required to confirm the efficacy of the selected hits, our findings provide a starting point for developing a potential treatment for MAYV infections. Full article

Programmed death-ligand 1 (PD-L1) is a crucial immune checkpoint protein that tumors often exploit to evade immune surveillance. This study systematically screened a library of 1031 FDA-approved drugs using a high-throughput molecular dynamics approach to identify potential inhibitors targeting PD-L1. From this screening, five promising compounds—vorapaxar, delafloxacin, tenofovir disoproxil, pivmecillinam, and fursultiamine—showed significant binding affinities to PD-L1 and demonstrated cytotoxic activity against A549 lung tumor cells. These candidates were further evaluated through extended molecular dynamics simulations lasting up to 150 ns to assess their structural stability, residue fluctuations, and binding free energy. Among the identified compounds, pivmecillinam demonstrated the most favorable results, exhibiting stable binding interactions and a binding free energy of −18.01 kcal/mol, comparable to that of the known PD-L1 inhibitor BMS-1. These findings suggest that pivmecillinam has promising immunomodulatory potential and could serve as a candidate for further development in cancer immunotherapy. Overall, this study underscores the value of integrating high-throughput MD and experimental approaches for drug repositioning to identify novel therapeutic agents. Full article

Background/Objective: Cyclosporine A and other calcineurin inhibitors have been identified as prospective treatments for preventing Alzheimer’s disease. We previously found that calcineurin inhibitors elicit a unique behavioral profile in zebrafish larvae, characterized by increased activity, acoustic hyperexcitability, and reduced visually guided behaviors. Screening a large library of FDA-approved compounds using Z-LaP Tracker revealed that some heart medications produce a similar behavioral profile, suggesting these drugs may exert calcineurin-inhibitor-like effects relevant to prevent-ing or ameliorating Alzheimer’s disease. Methods: Screening a large library of FDA-approved drugs using Z-LaP Tracker, a neural network model, revealed a cluster of 65 drugs demonstrating a cyclosporine A-like behavioral profile. Fourteen of these drugs were heart medications, including angiotensin receptor blockers, beta blockers, al-pha-adrenergic receptor antagonists, and a statin. Results: Dual administration of the heart medications with cyclosporine A in Z-LaP Tracker revealed synergistic effects: lower doses of each heart medication could be delivered in conjunction with a lower dose of cyclosporine A to evoke a similar or larger behavioral effect than higher doses of each drug independently. Other studies have shown that many of these heart medica-tions drugs directly or indirectly inhibit the calcineurin–NFAT pathway, like cyclo-sporine A, providing a potential mechanism. Conclusions: Co-administering a low dose of cyclosporine A with select cardiac drugs could be a potentially effective treatment strategy for preventing Alzheimer’s disease occurrence and simultaneously treating cardiovascular dysfunction, while mitigating the side effects associated with higher doses of cyclosporine A. Given that heart disease precedes Alzheimer’s disease in many patients, physicians may be able to create a treatment regimen that addresses both con-ditions. Our results suggest that a calcineurin inhibitor combined with simvastatin, irbesartan, cilostazol, doxazosin, or nebivolol is the most promising candidate for future exploration. Full article

Background: Breast cancer, the most prevalent cancer among women globally, develops primarily in the breast’s ducts or lobules. Drug resistance is a significant challenge in treating advanced cases, contributing to over 685,000 breast cancer-related deaths annually, and identifying novel compounds that inhibit key proteins is crucial for developing effective therapies. Methods: In this study, five transferase proteins with PDB IDs were selected due to their involvement in breast cancer: 1A52, 3PP0, 4EJN, 4I23, and 7R9V. Multitargeted docking studies were conducted using three different docking strategies and Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) to calculate the binding affinities against the ZINC Natural compound library. Isoetin (ZINC000006523948), found mainly in Isoetaceae, was identified, and the results were compared with the Food and Drug Administration (FDA)-approved drug Tucatinib. In addition, molecular interaction fingerprints and pharmacokinetic profiling were evaluated. We also performed 5 ns WaterMap simulations to identify hydration sites and interactions, followed by 100 ns molecular dynamics (MD) simulations and MM/GBSA to assess the stability of the Isoetin–protein complexes. Results: The docking results indicated that Isoetin demonstrated superior binding and docking scores ranging from −9.901 to −13.903 kcal/mol compared to Tucatinib, which showed values between −4.875 and −10.948 kcal/mol, suggesting Isoetin’s potential efficacy as a therapeutic agent for breast cancer. Interaction fingerprints revealed significant interactions between Isoetin and key residues, including 28LEU, 12MET, 9PHE, 7ASP, 6ASN, and 6THR. The pharmacokinetics and DFT analysis of Isoetin supported its potential as a viable drug candidate. Furthermore, the 5 ns WaterMap simulations identified various hydration sites, and the 100 ns MD simulations showed that the Isoetin–protein complexes exhibited minimal deviations and fluctuations, indicating better stability than Tucatinib, and MM/GBSA confirmed Isoetin’s superior binding stability. Conclusions: Isoetin, a natural compound identified through in silico screening, demonstrates significant promise as a potential therapeutic agent for breast cancer as it outperforms the FDA-approved drug Tucatinib, the respective native and FDA-approved drug. However, experimental validation is necessary before considering Isoetin for clinical use. Full article

Background: Severe fever with thrombocytopenia syndrome virus (SFTSV) is a novel tick-borne bunyavirus, causing the hemorrhagic infectious disease of SFTS, with a case fatality rate up to 30% due to the absence of effective therapeutic interventions. Therefore, it is urgent to develop safe and effective therapeutic drugs to control this viral hemorrhagic fever. Methods: The activity of verteporfin (VP), screened from an FDA-approved drugs library, against SFTSV, was systematically evaluated in Huh7 cells in a wide range of concentrations. We performed time-of-addition experiments with VP, along with binding, endocytosis, and membrane fusion assays, to determine which part of the SFTSV life cycle VP has its effect on. The potential targets of VP were detected by a drug affinity responsive target stability (DARTS) assay. Results: VP exhibited a potent anti-SFTSV activity by blocking the initial viral binding to the target cells during viral entry via significantly inducing the degradation of the viral Gn protein. Conclusions: The VP-induced inhibition of SFTSV binding, the first step of viral invasion, suggested that VP might be an ideal and potent anti-SFTSV agent due to its prophylaxis and therapeutic effects on viral infection. Full article

Background/Objectives: Phosphodiesterase 7 (PDE7), a member of the PDE superfamily, selectively catalyzes the hydrolysis of cyclic adenosine 3′,5′-monophosphate (cAMP), thereby regulating the intracellular levels of this second messenger and influencing various physiological functions and processes. There are two subtypes of PDE7, PDE7A and PDE7B, which are encoded by distinct genes. PDE7 inhibitors have been shown to exert therapeutic effects on neurological and respiratory diseases. However, FDA-approved drugs based on the PDE7A inhibitor are still absent, highlighting the need for novel compounds to advance PDE7A inhibitor development. Methods: To address this urgent and important issue, we conducted a comprehensive cheminformatics analysis of compounds with potential for PDE7A inhibition using a curated database to elucidate the chemical characteristics of the highly active PDE7A inhibitors. The specific substructures that significantly enhance the activity of PDE7A inhibitors, including benzenesulfonamido, acylamino, and phenoxyl, were identified by an interpretable machine learning analysis. Subsequently, a machine learning model employing the Random Forest–Morgan pattern was constructed for the qualitative and quantitative prediction of PDE7A inhibitors. Results: As a result, six compounds with potential PDE7A inhibitory activity were screened out from the SPECS compound library. These identified compounds exhibited favorable molecular properties and potent binding affinities with the target protein, holding promise as candidates for further exploration in the development of potent PDE7A inhibitors. Conclusions: The results of the present study would advance the exploration of innovative PDE7A inhibitors and provide valuable insights for future endeavors in the discovery of novel PDE inhibitors. Full article

Chronic diseases such as diabetes and cancer are the leading causes of mortality worldwide. Receptors for Advanced Glycation End products (RAGEs) are ubiquitous factors that catalyse Advanced Glycation End products (AGEs), proteins, and lipids that become glycated from sugar ingestion. RAGEs are cell surface receptor proteins and play a broad role in mediating the effects of AGEs on cells, contributing to modifying biological macromolecules like proteins and lipids, which can cause Reactive Oxygen Species (ROS) generation, inflammation, and cancer. We targeted RAGE inhibition analysis and screening of United States Food and Drug Administration (FDA) libraries through molecular docking studies that identified the four most suitable FDA compounds: Zytiga, Paliperidone, Targretin, and Irinotecan. We compared them with the control substrate, Carboxymethyllysine, which showed good binding interaction through hydrogen bonding, hydrophobic interactions, and π-stacking at active site residues of the target protein. Following a 100 ns simulation run, the docked complex revealed that the Root Mean Square Deviation (RMSD) values of two drugs, Irinotecan (1.3 ± 0.2 nm) and Paliperidone (1.2 ± 0.3 nm), were relatively stable. Subsequently, the Molecular Mechanics Poisson–Boltzmann Surface Area (MMPBSA) determined that the Paliperidone molecule had a high negative energy of −13.49 kcal/mol, and the Absorption, Distribution, Metabolism, and Excretion (ADME) properties were in control for use in the mentioned cases. We extended this with many in vitro studies, including an immunoblotting assay, which revealed that RAGEs with High Mobility Group Box 1 (HMGB1) showed higher expression, while RAGEs with Paliperidone showed lower expressions. Furthermore, cell proliferation assay and Apoptosis assay (Annexin-V/PI staining) results revealed that Paliperidone was an effective anti-glycation and anti-apoptotic drug—however, more extensive in vivo studies are needed before its use. Full article

Background: Breast cancer remains a significant global health concern, with approximately 2.3 million diagnosed cases and 670,000 deaths annually. Current targeted therapies face challenges such as resistance and adverse side effects. This study aimed to explore natural compounds as potential multitargeted breast cancer therapeutics, focusing on Lucidin, an anthraquinone derived from Rubia cordifolia, and comparing its efficacy with Lapatinib, an FDA-approved drug. Methods: We performed multitargeted molecular docking studies on key breast cancer proteins using a natural compound library from ZINC. Comparative analyses of Lucidin and Lapatinib included molecular interaction fingerprints, pharmacokinetics, WaterMap computations (5 ns) to assess water thermodynamics and binding interactions, and Molecular Dynamics Simulations (100 ns) in water to evaluate complex stability and dynamic behaviour. Results: Lucidin demonstrated significant binding affinity and interaction potential with multiple breast cancer targets, outperforming Lapatinib in stability and binding interactions. WaterMap analysis revealed favourable hydration site energetics for Lucidin, enhancing its efficacy. The multitargeted profile of Lucidin suggests a broader therapeutic approach with potential to overcome resistance and side effects associated with Lapatinib. Conclusions: Lucidin shows promise as a novel, multitargeted anti-breast cancer agent with improved efficacy over Lapatinib. These findings provide a foundation for further in vitro and in vivo validation to develop Lucidin as a potential therapeutic option for breast cancer treatment. Full article

Eumycetoma, a chronic fungal infection caused by Madurella mycetomatis, is a neglected tropical disease characterized by tumor-like growths that can lead to permanent disability and deformities if untreated. Predominantly affecting regions in Africa, South America, and Asia, it imposes significant physical, social, and economic burdens. Current treatments, including antifungal drugs like itraconazole, often show variable efficacy, with severe cases necessitating surgical intervention or amputation. Drug discovery for eumycetoma faces challenges due to limited understanding of the disease’s molecular mechanisms and the lack of 3D structures for key targets such as Madurella mycetomatis CYP51, a well-known target for azoles’ antifungal agents. To address these challenges, this study employed computational approaches, including homology modeling, virtual screening, free energy calculations, and molecular dynamics simulations, to repurpose FDA-approved drugs as potential treatments for eumycetoma targeting Madurella mycetomatis CYP51. To this end, a library of 2619 FDA-approved drugs was screened, identifying three promising candidates: montelukast, vilanterol, and lidoflazine. These compounds demonstrated favorable binding affinities, strong interactions with critical residues of the homology model of Madurella mycetomatis CYP51, and stability in molecular dynamics simulations, offering potential for further investigation as effective therapeutic options for eumycetoma. Full article