Potential Candidate Research Articles

Effect of curcumin-containing nanofibrous gelatin-hydroxyapatite scaffold on proliferation and early osteogenic differentiation of dental pulp stem cells.

In recent years, the electrospinning method has received attention because of its usage in producing a mimetic nanocomposite scaffold for tissue regeneration. Hydroxyapatite and gelatin are suitable materials for producing scaffolds, and curcumin has the osteogenesis induction effect. This study aimed to evaluate the toxicity and early osteogenic differentiation stimulation of nanofibrous gelatin-hydroxyapatite scaffold containing curcumin on dental pulp stem cells (DPSCs). The objective of the present investigation was the evaluation of the proliferative effect and primary osteogenic stimulation of DPSCs with a nanofibrous gelatin-hydroxyapatite scaffold containing curcumin. Hydroxyapatite and gelatin were used as suitable and biocompatible materials to make a scaffold suitable for stimulating osteogenesis. Curcumin was added to the scaffold as an osteogenic differentiation-enhancing agent. The effect of nano-scaffold on the proliferation of DPSCs was evaluated. The activity of alkaline phosphatase (ALP) as the early osteogenic marker was considered to assess primary osteogenesis stimulation in DPSCs. The nanofibrous gelatin-hydroxyapatite scaffold containing curcumin significantly increased the proliferation and the ALP activity of DPSCs (P<0.05). The proliferative effect was insignificant in the first 2 days, but the scaffold increased cell proliferation by more than 40% in the fourth and sixth days. The prepared scaffold increased the activity of the ALP of DPSCs by 60% compared with the control after 14 days (P<0.05). The produced nanofibrous gelatin-hydroxyapatite scaffold containing curcumin can be utilized as a potential candidate in tissue engineering and regeneration of bone and tooth. The prepared scaffold in the present study could be a beneficial biomaterial for tissue engineering and the regeneration of bone and tooth soon.

Naringenin-induced Oral Cancer Cell Apoptosis Via ROS-mediated Bid and Bcl-xl Signaling Pathway.

Oral cancer is a malignant tumor with a high impact and poor prognosis. Naringenin, a flavonoid found in citrus fruits and its anti-inflammatory and antioxidant properties offer potential therapeutic benefits. However, limited studies have been conducted on the impact of naringenin on human tongue carcinoma CAL-27 cells. This study aims to elucidate the correlation between naringenin and tongue cancer, thereby identifying a potential therapeutic candidate for drug intervention against tongue cancer. The effect of naringenin on the apoptosis of CAL-27 cells and its mechanism were studied by cell counting kit-8, mitochondrial membrane potential assay with JC-1, Annexin V-- FITC apoptosis detection, cell cycle, and apoptosis analysis, Reactive Oxygen Species assay and Western blot. The results showed that naringenin significantly induced apoptosis in CAL-27 cells in a dose-dependent manner. Mechanistically, naringenin-induced apoptosis was mediated through the upregulation of Bid and downregulation of Bcl-xl, which led to increased generation of ROS. The findings suggested that naringenin may represent a promising candidate for the treatment of oral cancer by inducing apoptotic cell death via modulation of the Bid and Bcl-xl signaling pathways.

The application of MD simulation to lead identification, vaccine design, and structural studies in combat against leishmaniasis - A review.

Drug discovery, vaccine design, and protein interaction studies are rapidly moving toward the routine use of molecular dynamics simulations (MDS) and related methods. As a result of MDS, it is possible to gain insights into the dynamics and function of identified drug targets, antibody-antigen interactions, potential vaccine candidates, intrinsically disordered proteins, and essential proteins. The MDS appears to be used in all possible ways in combating diseases such as cancer, however, it has not been well documented as to how effectively it is applied to infectious diseases such as Leishmaniasis. As a result, this systematic review aims to survey the application of MDS in combating leishmaniasis. We have systematically collected articles that illustrate the implementation of MDS in drug discovery, vaccine development, and structural studies related to Leishmaniasis. Of all the articles reviewed, we identified that only a limited number of studies focused on the development of vaccines against Leishmaniasis through MDS. Also, the PCA and FEL studies were not carried out in most of the studies. These two were globally accepted utilities to understand the conformational changes and hence it is recommended that this analysis should be taken up in similar approaches in the future.

Harnessing Computational Modeling for Efficient Drug Design Strategies

Abstract: Computational modeling has become a crucial tool in drug design, offering efficiency and cost-effectiveness. This paper discusses the various computational modeling techniques used in drug design and their role in enabling efficient drug discovery strategies. Molecular docking predicts the binding affinity of a small molecule to a target protein, allowing the researchers to identify potential lead compounds and optimize their interactions. Molecular dynamics simulations provide insights into protein-ligand complexes, enabling the exploration of conformational changes, binding free energies, and fundamental protein-ligand interactions. Integrating computational modeling with machine learning algorithms, such as QSAR modeling and virtual screening, enables the prediction of compound properties and prioritizes potential drug candidates. High-performance computing resources and advanced algorithms are essential for accelerating drug design workflows, with parallel computing, cloud computing, and GPU acceleration reducing computational time. The paper also addresses the challenges and limitations of computational modeling in drug design, such as the accuracy of scoring functions, protein flexibility representation, and validation of predictive models. It emphasizes the need for experimental validation and iterative refinement of computational predictions to ensure the reliability and efficacy of designed drugs.

Role of TBK1 Inhibition in Targeted Therapy of Cancer.

TANK-binding kinase 1 (TBK1) is a serine/threonine protein that plays a crucial role in various biological processes like immunity, autophagy, cell survival, and proliferation. The level and kinase activity of the TBK1 protein is regulated through post-translational modifications (PTMs). TBK1 mainly mediates the activation of IRF3/7 and NF-κB signaling pathways while also participating in the regulation of cellular activities such as autophagy, mitochondrial metabolism, and cell proliferation. TBK1 regulates immune, metabolic, inflammatory, and tumor occurrence and development within the body through these cellular activities. TBK1 kinase has emerged as a promising therapeutic target for tumor immunity. However, its molecular mechanism of action remains largely unknown. The identification of selective TBK1 small molecule inhibitors can serve as valuable tools for investigating the biological function of TBK1 protein and also as potential drug candidates for tumor immunotherapy. The current research progress indicates that some TBK1 inhibitors (compounds 15,16 and 21) exhibit certain antitumor effects in vitro culture systems. Here, we summarize the mechanism of action of TBK1 in tumors in recent years and the progress of small molecule inhibitors of TBK1.

Recent Advances on PKM2 Inhibitors and Activators in Cancer Applications.

Metabolic reprogramming of cells, from the normal mode of glucose metabolism named glycolysis, is a pivotal characteristic of impending cancerous cells. Pyruvate kinase M2 (PKM2), an important enzyme that catalyzes the final rate-limiting stage during glycolysis, is highly expressed in numerous types of tumors and aids in development of favorable conditions for the survival of tumor cells. Increasing evidence has suggested that PKM2 is one of promising targets for innovative drug discovery, especially for the developments of antitumor therapeutics. Herein, we systematically summarize the recent advancement on PKM2 modulators including inhibitors and activators in cancer applications. We also discussed the classifications of pyruvate kinases in mammals and the biological functions of PKM2 in this review. We do hope that this review would provide a comprehensive understanding of the current research on PKM2 modulators, which may benefit the development of more potent PKM2-related drug candidates to treat PKM2-associated diseases including cancers in future.

Exploration and Validation of Lead Molecules against Yellow Fever through High Throughput Virtual Screening and Molecular Dynamics Simulation

Background: Yellow fever (YF) is a mosquito-borne flaviviral hemorrhagic fever (VHF) that causes severe hepatitis, renal failure, bleeding, and quick terminal events such as shock and multi-organ failure. There are currently no particular anti-viral medications for the management of the YF virus (YFV). Despite the availability of a commercial YFV vaccination, there are roughly 30,000 fatalities globally each year, with instances rising over the previous 20 years. After being translocated into the endoplasmic reticulum lumen, glycosylated NS1 resides as a membrane-associated dimer, where it is required for viral genome replication. The secreted hexamer NS1 has a role in immune evasion and pathogenesis and has been discovered as a possible diagnostic marker for the early identification of viral infections. Objective: The main aim of this study is to analyze the small molecule as a potent drug candidate against the target NS1 protein. Methods: In this study, Computational approaches, including high throughput virtual screening, molecular docking, and dynamics simulation, were carried out against the target NS1 protein using three different chemical libraries Enamine, Asinex, and NCI. The selected lead compounds were validated through HOMO-LUMO analysis, ADME prediction, and Toxicity parameters to analyze the biological and pharmacological properties of the lead small molecules. Results: From the result, it was concluded that the leads possessed the highest docking scores, interacting with the binding residues, and were stable in the simulation period. Conclusion: Overall findings revealed that the lead three small molecules could act as the potential drug candidate for the target NS1 protein to inhibit the diseasing efficacy of Yellow fever.

Therapeutic Potential of CRISPR/Cas in Hashimoto's Thyroiditis: A Comprehensive Review.

Hashimoto's thyroiditis (HT) is a commonly occurring illness of autoimmune endocrine origin. It is usually present in the pediatric age group along with other well-known diseases, such as type 1 insulin-dependent diabetes. The defining feature of this disease is the immune-- mediated attack on the thyroid gland resulting in the destruction of thyroid tissues and cells. Given that HT frequently affects family members, it is well-recognized that individuals are genetically predisposed to this disease. Patients with HT also display a significantly increased risk for several different cancers, justifying the eminent need for the development of therapies for managing and treating HT. Gene editing has made several advancements in the field of molecular biology and has turned out to become a promising approach to correct several autoimmune diseases. Currently, CRISPR/Cas, a nuclease-based editing technique, is publicized as a promising tool for curing several genetic diseases and cancers. However, very limited research has been conducted as of now on autoimmune disease management and cure via CRISPR/Cas technique. This review provides an account of the potential candidate genes associated with Hashimoto's thyroiditis, and only a few animal and human models have been generated via the CRISPR/Cas gene editing technique. Mouse models of autoimmune thyroiditis generated through the CRISPR/Cas gene editing technique by targeting the candidate genes will provide us with a deeper insight into the pathophysiology of HT and further pave the way for the immunomodulation of HT via gene editing.

Application of Cell Penetrating Peptides for Intracellular Delivery of Endostatin: A Computational Approach.

Endostatin is an antiangiogenic compound with anticancer activity. The poor stability and low half-life of endostatin are the main barriers to the clinical use of this protein. Cell-penetrating peptides (CPPs) are extensively applied as carrier in the delivery of drugs and different therapeutic agents. Therefore, they can be proper candidates to improve endostatin delivery to the target cells. In this study, we aim to computationally predict appropriate CPPs for the delivery of endostatin. Potential appropriate CPPs for protein delivery were selected based on the literature. The main parameters for detection of best CPP-endostatin fusions, including stability, hydrophobicity, antigenicity, and subcellular localization, were predicted using ProtParam, VaxiJen, and DeepLoc-1.0 servers, respectively. The 3D structures of the best CPP-Endostatin fusions were modeled by the I-TASSER server. The predicted models were validated using PROCHECK, ERRAT, Verify3D and ProSA-Web servers. The best models were visualized by the PyMol molecular graphics system. Considering the principal parameters in the selection of best CPPs for endostatin delivery, endostatin fusions with four CPPs, including Cyt c-ss-MAP, TP-biot1, MPGα, and DPV1047, high stability and hydrophobicity, no antigenicity and extracellular localization were predicted as the best potential fusions for endostatin delivery. Four CPPs, including Cyt c-ss-MAP, TP-biot1, MPGα, and DPV1047, were predicted as the best potential candidates to improve endostatin delivery. Application of these CPPs may overcome the limitation of endostatin therapeutic applications, including poor stability and low half-life. Subsequent experimental studies will contribute to verifying these computational results.

Identifying p56lck SH2 Domain Inhibitors Using Molecular Docking and In Silico Scaffold Hopping

Bacterial infections are the second-leading cause of death, globally. The prevalence of antibacterial resistance has kept the demand strong for the development of new and potent drug candidates. It has been demonstrated that Src protein tyrosine kinases (TKs) play an important role in the regulation of inflammatory responses to tissue injury, which can trigger the onset of several severe diseases. We carried out a search for novel Src protein TK inhibitors, commencing from reported highly potent anti-bacterial compounds obtained using the Mannich reaction, using a combination of e-pharmacophore modeling, virtual screening, ensemble docking, and core hopping. The top-scoring compounds from ligand-based virtual screening were modified using protein structure-based design approaches, and their binding to the Src homology-2 domain of p56lck TK was predicted using ensemble molecular docking. We have prepared a database of 202 small molecules and have identified six novel top hits that can be subjected to further investigation. We have also performed in silico ADMET property prediction for the hit compounds. This combined computer-aided drug design approach can serve as a starting point for identifying novel TK inhibitors that could be further subjected to in vitro studies and validation of antimicrobial activity.

Advancing vaccine development: Evaluation of a mannose-modified lipid nanoparticle-based candidate for African swine fever p30 mRNA vaccine eliciting robust immune response in mice

The African swine fever virus (ASFV) continues to pose significant economic and pandemic risks. Consequently, discovering new, efficient vaccines is crucial. Messenger RNA (mRNA) vaccines have emerged as promising candidates, providing minimal risk of insertional mutagenesis, high safety profiles, effectiveness, rapid scalability in production, and cost-effectiveness. In this study, we have developed an ASF p30 mRNA vaccine candidate (mRNA/Man-LNP) employing mannose-modified lipid nanoparticles (LNPs). The mRNA/Man-LNP exhibited effective antigen presentation and facilitated dendritic cells (DCs) maturation. Notably, it elicited strong IgG titers and activated CD4+ and CD8+ T-cells in immunized mice, all while adhering to stringent biosafety standards. This investigation demonstrates that mRNA/Man-LNP can trigger both humoral and cellular immune responses, suggesting its potential as a potent and promising vaccine candidate for controlling African swine fever (ASF).

Thiazole as an Indispensable Scaffold in Anti‐Leukemic Agents: A Semicentennial Review

AbstractLeukemia affects the body‘s blood‐forming tissues, especially the bone marrow and lymphatic system. Leukemia incidence varies between communities and between pathological kinds. Many treatment modalities exist for leukemia, such as chemotherapy, targeted therapy, radiation therapy, bone marrow transplantation, immunotherapy, and the engineering of immune cells to fight leukemia. Leukemia might be treated with a variety of pharmaceuticals, the most popular of which are imatinib (Gleevec), dasatinib (Sprycel), nilotinib (Tasigna), obinutuzumab (Gazyva), venetoclax (Venclexta), and so on. Thiazole is one of the scaffolds that are actively explored in leukemia. Derivatives having the thiazole nucleus have been surfacing as potent candidates in the treatment of leukemia for quite sometime now, but a consolidated report accumulating all these ventures is absent. Numerous naturally occurring substances, including flavones, alkaloids, anabolic steroids, and vitamin B1 (thiamine), include the basic thiazole molecule. Thiazole derivatives have been researched for their possible therapeutic effects in the treatment of leukemia. Thus, this review comprising reports regarding the effect of different thiazole‐based species in leukemia is a timely effort to the best of our knowledge. This review covers the chronological development of antileukemic thiazole‐based molecules, their synthesis, biological activity, and structure–activity relationships.

Serum Levels of Long Non-coding RNAs NEAT1, GAS5, and GAPLINC Altered in Rheumatoid Arthritis.

Rheumatoid arthritis (RA), an autoimmune joint inflammatory disease, presents a significant challenge due to its prevalence, particularly among women, affecting around 6% of individuals over the age of 65. Novel insights into disease mechanisms are crucial for improved diagnostic and therapeutic approaches. Long non-coding RNAs (lncRNAs) have emerged as potential contributors to the pathogenesis of various autoimmune diseases, including RA. This study aims to investigate the unique roles of four lncRNAs-NEAT1, GAS5, TMEVPG1, and GAPLINC-in the etiology of RA. Leveraging isolated serum samples from RA patients and healthy controls, we comprehensively evaluated the expression profiles of these lncRNAs. Notably, our findings unveil a distinctive landscape of lncRNA expressions in RA. Among them, GAPLINC exhibited a significantly elevated average expression in the serum samples of RA patients, suggesting a potential biomarker candidate for disease stratification. Importantly, reduced expression of NEAT1 and GAS5 was observed in RA patients, highlighting their possible roles as diagnostic and prognostic markers. Conversely, TMEVPG1 displayed unaltered expression levels in RA samples. Our study introduces a novel dimension to RA research by identifying NEAT1, GAS5, and GAPLINC as promising serological biomarkers. These findings hold significant clinical implications, offering potential avenues for improved diagnosis, disease monitoring, and therapeutic interventions in RA.

A Contemporary Review on the Critical Role of Nonsteroidal Anti-inflammatory Agents in Colorectal Cancer Therapy.

Nonsteroidal Anti-Inflammatory Drugs (NSAIDs) are widely recognized as effective pain relievers and function by inhibiting the cyclooxygenase enzyme (COXs). Moreover, they have been found to participate in various cellular processes through different signaling pathways, such as WNT, MAPK, NF-KB, and PI3K/AKT/mTOR. This makes them potential candidates for chemoprevention of several malignancies, particularly colorectal cancer (CRC). However, the use of NSAIDs in cancer prevention and treatment is a complex issue due to their adverse effects and gastrointestinal toxicity. Therefore, it is crucial to explore combination therapies that can minimize side effects while maximizing synergistic effects with other agents and to evaluate the success rate of such approaches in both pre-clinical and clinical studies. In this review, we aim to provide an overview of the effects of NSAIDs in the prevention and treatment of CRC. We will focus on elucidating the possible mechanisms of action of these drugs, the signaling pathways involved in CRC, and the potential synergistic effects when combined with other therapeutic agents.

Pharmacological Evaluation of Antidiabetic Capacity of Moringa oleifera LAM Leaves

Nowadays, phyto-medicine is considered the best form of modern, scientific herbal medicine, relying on scientific research and the highest professional standards to find effective remedies for diseases including diabetes, since this disease is principally linked to impaired insulin function. The work aimed to evaluate inhibitory capacity of Moringa oleifera LAM (MEMO) (Moringaceae). Methanol extract of this plant was prepared and was delivered to rats and revealed a remarkable decrease in glycaemia state (vs. Glibenclamide, 5 mg/kg). Noting that the biochemical parameters were also evaluated. In addition, the plant extract also inhibited enzymes activities comparing to acarbose (standard). This plant possesses antidiabetic properties. The results showed that the activity of this plant represents a potential candidate to develop new drugs to prevent/treat diabetes and this type of pharmacological research is likely to lead to the industrial pharmaceutical development of new active bio-compounds in countries where tradition remains strong.

Marine Microalgae Schizochytrium sp. S31: Potential Source for New Antimicrobial and Antibiofilm Agent.

The rise of antibiotic-resistant bacteria necessitates the discovery of new, safe, and bioactive antimicrobial compounds. The antibacterial and antibiofilm activity of microalgae makes them a potential candidate for developing natural antibiotics to limit microbial infection in various fields. This study aimed to analyze the antibacterial effect of the methanolic extract of Schizochytrium sp. S31 microalgae by broth microdilution and spot plate assays. The antibacterial effects of Schizochytrium sp. S31 extract was studied on gramnegative pathogens, Pseudomonas aeruginosa, Escherichia coli 35218, Klebsiella pneumonia, which cause many different human infections, and the gram-positive pathogen Streptococcus mutans. At the same time, the antibiofilm activity of the Schizochytrium sp. S31 extract on Pseudomonas aeruginosa and Escherichia coli 35218 bacteria were investigated by crystal violet staining method. Schizochytrium sp. S31 extract at a 60% concentration for 8 hours displayed the highest antibacterial activity against P. aeruginosa, E. coli 35218, and K. pneumonia, with a decrease of 87%, 92%, and 98% in cell viability, respectively. The experiment with Streptococcus mutans revealed a remarkable antibacterial effect at a 60% extract concentration for 24 hours, leading to a notable 93% reduction in cell viability. Furthermore, the extract exhibited a dose-dependent inhibition of biofilm formation in P. aeruginosa and E. coli 35218. The concentration of 60% extract was identified as the most effective dosage in terms of inhibition. This research emphasizes the potential of Schizochytrium sp. S31 as a natural antibacterial and antibiofilm agent with promising applications in the pharmaceutical sectors. This is the first study to examine the antibacterial activity of Schizochytrium sp. S31 microalgae using broth microdilution, spot plate assays, and the antibiofilm activity by a crystal staining method. The findings of this study show that Schizochytrium sp. S31 has antibacterial and antibiofilm activities against critical bacterial pathogens.

Therapeutic Intervention of Serine Protease Inhibitors against Hepatitis C Virus.

Hepatitis C virus (HCV) is a globally prevalent and hazardous disorder that is responsible for inducing several persistent and potentially fatal liver diseases. Current treatment strategies offer limited efficacy, often accompanied by severe and debilitating adverse effects. Consequently, there is an urgent and compelling need to develop novel therapeutic interventions that can provide maximum efficacy in combating HCV while minimizing the burden of adverse effects on patients. One promising target against HCV is the NS3-4A serine protease, a complex composed of two HCV-encoded proteins. This non-covalent heterodimer is crucial in the viral life cycle and has become a primary focus for therapeutic interventions. Although peginterferon, combined with ribavirin, is commonly employed for HCV treatment, its efficacy is hampered by significant adverse effects that can profoundly impact patients' quality of life. In recent years, the development of direct-acting antiviral agents (DAAs) has emerged as a breakthrough in HCV therapy. These agents exhibit remarkable potency against the virus and have demonstrated fewer adverse effects when combined with other DAAs. However, it is important to note that there is a potential for developing resistance to DAAs due to alterations in the amino acid position of the NS3-4A protease. This emphasizes the need for ongoing research to identify strategies that can minimize the emergence of resistance and ensure long-term effectiveness. While the combination of DAAs holds promise for HCV treatment, it is crucial to consider the possibility of drug-drug interactions. These interactions may occur when different DAAs are used concurrently, potentially compromising their therapeutic efficacy. Therefore, carefully evaluating and monitoring potential drug interactions are vital to optimize treatment outcomes. In the pursuit of novel therapeutic interventions for HCV, the field of computational biology and bioinformatics has emerged as a valuable tool. These advanced technologies and methodologies enable the development and design of new drugs and therapeutic agents that exhibit maximum efficacy, reduced risk of resistance, and minimal adverse effects. By leveraging computational approaches, researchers can efficiently screen and optimize potential candidates, accelerating the discovery and development of highly effective treatments for HCV, treatments.

Ultrasonication-based preparation of raw chitin nanofiber and evaluation of its reinforcement effect on chitosan film for functionalization with curcumin

Raw chitin nanofibers (CNF) through an 8-minute high-power sonication process were successfully prepared. Well-preserved nanofibers with diameters of 50-100 nm and lengths of 3-10 μm were observed by atomic force microscopy. The high aspect ratio induced strong entanglement under high shear rates, leading to typical nanofiber four-region shear-thinning behavior. These native chitin nanofibers were incorporated into chitosan film-forming solutions at different concentrations. FTIR results indicated intermolecular hydrogen bonds between CS and CNF. Tensile strength was significantly enhanced with the inclusion of CNF, with the highest stress at 30% CNF incorporation. Elongation at break increased up to 35% with 10% CNF concentration, gradually decreasing with higher CNF content. CS with 20% addition of CNF content was chosen as for curcumin addition considering the high mechanical performance and low grammage value. Oxygen transmission rate reduced slowly with increasing CNF concentration, and a significant drop by about 90% was observed upon curcumin inclusion. UV blocking performance and antioxidant ability were drastically improved after curcumin inclusion. The utilization of raw CNF as a film reinforcement nanofiller offers several advantages, including ease of preparation, higher aspect ratio, longer length, and superior mechanical performance. CNF-reinforced chitosan films emerge as potent candidates for functional food packaging materials.

Inhibition of Human Colorectal Cancer by a Natural Product 7-Acetylhorminone and Interactions with BSA/HSA: Multispectral Analysis and In Silico and In Vitro Studies.

We have semi-synthesized a natural product 7-acetylhorminone from crude extract of Premna obtusifolia (Indian headache tree), which is active against colorectal cancer after probation through computational screening methods as it passed through the set parameters of pharmacokinetics (most important nonblood-brain barrier permeant) and drug likeliness (e.g., Lipinski's, Ghose's, Veber's rule) which most other phytoconstituents failed to pass combined with docking with EGFR protein which is highly upregulated in the colorectal carcinoma cell. The structure of 7-acetylhorminone was confirmed by single crystal X-ray diffraction studies and 1H NMR, 13C NMR, and COSY studies. To validate the theoretical studies, first, in vitro experiments were carried out against human colorectal carcinoma cell lines (HCT116) which revealed the potent cytotoxic efficacy of 7-acetylhorminone and verified preliminary investigation. Second, the drugability of 7-acetylhorminone interaction with serum albumin proteins (HSA and BSA) is evaluated both theoretically and experimentally via steady-state fluorescence spectroscopic studies, circular dichroism, isothermal titration calorimetry, and molecular docking. In summary, this study reveals the applicability of 7-acetylhorminone as a potent drug candidate or as a combinatorial drug against colorectal cancer.

Ayurvedic and Chinese Herbs against Coronaviruses.

COVID-19 is a viral disease that infects the lower airways, causing severe acute respiratory syndrome (SARS) and fatal pneumonia. The ripple effect of the COVID-19 outbreak has created serious problems in the healthcare systems of many countries and had far-reaching consequences for the global economy. Thus, effective control measures should be implemented for this coronavirus infection in the future. The ongoing episode of the SARS-CoV-2 sickness, COVID-19, in China, and the subsequent irregular spread of contamination to different nations, has alarmed the clinical and academic community primarily due to the deadly nature of this disease. Being a newly identified virus in the viral classification and having the highest mutation rate, rapid therapeutics are not readily available for treating this ailment, leading to the widespread of the disease and causing social issues for affected individuals. Evidence of Ayurveda and traditional Chinese medicine (TCM) has been found in ancient civilizations, such as those of the Hindus, Babylonians, Hebrews, and Arabs. Although TCM and Ayurvedic herbs do not promise to be very effective treatments for this pandemic, they can reduce infectivity and virulence by enhancing immunity and showing effectiveness in rehabilitation after COVID-19 disease. Thus, they could be used as sources of inhibitor molecules for certain phenomena, such as viral replication, attachment to the host, 3CL protease inhibition, 3a ion channel inhibitors, and reverse transcription inhibition. Medicinal plants from TCM and Ayurveda and their biologically active phytoconstituents can effectively modulate the targets and pathways relevant to inflammation and immune responses in human bodies. The present review analyzes the role of certain TCM and Ayurvedic medicinal plants in healing COVID-19 infection. Medicinal plants such as Glycyrrhiza glabra (licorice), Curcuma longa (turmeric), and Zingiber officinale (ginger) are regarded as the main antiviral herbs. Their extracts and individual bioactive compounds could be used as potential substances for developing remedies to prevent or cure the coronavirus disease. Generally, antiviral phytochemicals obtained from natural sources are considered potent candidates for fighting COVID-19 infection and rehabilitation after it.