Wide Range Research Articles

CRISPR-Based Therapies: Revolutionizing Drug Development and Precision Medicine.

With the discovery of CRISPR-Cas9, drug development and precision medicine have undergone a major change. This review article looks at the new ways that CRISPR-based therapies are being used and how they are changing the way medicine is done. CRISPR technology's ability to precisely and flexibly edit genes has opened up new ways to find, validate, and develop drug targets. Also, it has made way for personalized gene therapies, precise gene editing, and advanced screening techniques, all of which hold great promise for treating a wide range of diseases. In this article, we look at the latest research and clinical trials that show how CRISPR could be used to treat genetic diseases, cancer, infectious diseases, and other hard-to-treat conditions. However, ethical issues and problems with regulations are also discussed in relation to CRISPR-based therapies, which shows how important it is to use them safely and responsibly. As CRISPR continues to change how drugs are made and used, this review shines a light on the amazing things that have been done and what the future might hold in this rapidly changing field.

The Cultural Work of Animal Narrators in the Contemporary Sub-Saharan African Novel

ABSTRACT: Over the early decades of the twenty-first century there has been a marked rise of works of African fiction recounted by first-person animal narrators—prompted by such historical vectors as the accelerating onrush of climate change (with the mass extinctions it promises to bring), the instrumentalization of animals and their reduction to the status of commodities under neoliberal capitalism, the rise of animal studies as an academic field with its promotion of an awareness of speciesism, and the continuing effort to culturally decolonize residual imperialist discourses that suppressed indigenous African modes of knowledge. This essay argues these animalnarrated works of fiction explore a wide range of thematic focuses but share a number of distinct commonalities as well: attention to the natural world or breakdown of the conceptual dichotomy between man-made and natural worlds, a desire to provide alternative perspectives on human society, a calling into question of humanity's age-old idealization of itself, and a revaluation of nonhuman animals.

Performance Characterization of a Slotted Wind Turbine Airfoil Featuring Passive Blowing

Renewable energy is crucial for a sustainable future, and wind energy holds significant potential as a viable solution to meet global demands. The current study employs high-fidelity Computational Fluid Dynamics (CFD) simulations to investigate the unsteady aerodynamics of an S809 wind turbine airfoil carved with an inclined contracting curved slot at the mid-chord location. The numerical analyses cover a wide range of angles of attack, α = 0°-20°, at a chord-based Reynolds number of Rec = 5×105. The slotted airfoil exhibits superior aerodynamic performance over moderate-to-high angles of attack (α > 6°), with increased lift, reduced drag, and enhanced glide ratio of up to 1.3x, 0.5x, and 3.7x respectively, compared to the baseline. The slot-induced flow control significantly suppresses flow transition and separation across the airfoil surfaces. The attached-flow regime impedes the formation of flow anomalies, resulting in enhanced aerodynamic performance. Comparative analyses reveal significant reductions in velocity fluctuations, Reynolds shear, vorticity, and turbulent kinetic energy, across the slotted airfoil surface and wake region. The aeroacoustic analysis of the slotted airfoil exhibits substantial reduction in the far-field noise over moderate-high angles of attack, with an overall noise level reduction of approximately 14 decibels recorded at α = 17°. Overall, this study highlights the potential of slot-induced flow control as an effective strategy for enhancing the aerodynamic performance of wind turbines.

Recent Advances in Biomedical Nanotechnology Related to Natural Products.

Natural product processing via nanotechnology has opened the door to innovative and significant applications in medical fields. On one hand, plants-derived bioactive ingredients such as phenols, pentacyclic triterpenes and flavonoids exhibit significant pharmacological activities, on another hand, most of them are hydrophobic in nature, posing challenges to their use. To overcome this issue, nanoencapsulation technology is employed to encapsulate these lipophilic compounds and enhance their bioavailability. In this regard, various nano-sized vehicles, including degradable functional polymer organic compounds, mesoporous silicon or carbon materials, offer superior stability and retention for bioactive ingredients against decomposition and loss during delivery as well as sustained release. On the other hand, some naturally occurring polymers, lipids and even microorganisms, which constitute a significant portion of Earth's biomass, show promising potential for biomedical applications as well. Through nano-processing, these natural products can be developed into nano-delivery systems with desirable characteristics for encapsulation a wide range of bioactive components and therapeutic agents, facilitating in vivo drug transport. Beyond the presentation of the most recent nanoencapsulation and nano-processing advancements with formulations mainly based on natural products, this review emphasizes the importance of their physicochemical properties at the nanoscale and their potential in disease therapy.

Better Understanding Differences in Attribution Methods via Systematic Evaluations.

Deep neural networks are very successful on many vision tasks, but hard to interpret due to their black box nature. To overcome this, various post-hoc attribution methods have been proposed to identify image regions most influential to the models' decisions. Evaluating such methods is challenging since no ground truth attributions exist. We thus propose three novel evaluation schemes to more reliably measure the faithfulness of those methods, to make comparisons between them more fair, and to make visual inspection more systematic. To address faithfulness, we propose a novel evaluation setting (DiFull) in which we carefully control which parts of the input can influence the output in order to distinguish possible from impossible attributions. To address fairness, we note that different methods are applied at different layers, which skews any comparison, and so evaluate all methods on the same layers (ML-Att) and discuss how this impacts their performance on quantitative metrics. For more systematic visualizations, we propose a scheme (AggAtt) to qualitatively evaluate the methods on complete datasets. We use these evaluation schemes to study strengths and shortcomings of some widely used attribution methods over a wide range of models. Finally, we propose a post-processing smoothing step that significantly improves the performance of some attribution methods, and discuss its applicability.

Schiff Bases: Versatile Mediators of Medicinal and Multifunctional Advancements

Abstract: This review aims to shed light on the profound implications of Schiff Bases in combating a spectrum of pathogens by delving into their complex classification, synthesis, and reactions. The investigation also covers the varied molecular properties of Schiff bases, highlighting their potential use as chelating agents in coordination chemistry. Moreover, the investigation explores the discerning nature of Schiff Bases about metal ions and their adeptness in establishing intricate associations, highlighting their significance in metal coordination chemistry and specialized pharmaceutical transport mechanisms. Moreover, the review delves into the synthetic capacity of Schiff Bases, highlighting their importance in synthetic methodologies due to their exceptional adaptability, selectivity, and structural similarity to organic compounds. The methodology employs a rigorous systematic literature review to understand Schiff Bases comprehensively. This involves a meticulous analysis of various research articles and publications, allowing for a comprehensive exploration of the topic. The assessment of experimental investigations contributes to comprehending their molecular attributes, specificity for metal ions, and capacity for synthesis. The presented analysis amalgamates a multitude of sources to provide a nuanced and comprehensive viewpoint on the subject matter of Schiff Bases. The findings underscore the multifaceted utility of Schiff Bases in the fight against pathogens, their adaptability as chelating compounds, and their discerning affinity for metal ions. The examination of synthesis highlights their profound importance in synthetic methodologies and their striking resemblance to compounds found in living organisms. In conclusion, this analysis reveals Schiff Bases as highly adaptable compounds with potential in antimicrobial therapy, coordination chemistry, and precision drug delivery. The distinctive molecular attributes of these substances, functioning as chelators, contribute to their notable importance. The ability of Schiff bases to form complexes and their preference for metal ions highlight the wide range of applications for these molecules. Schiff Bases have a transformative effect on chemistry and medicine as we investigate their synthetic potential, driven by their versatility and structural similarity to biological compounds.

A New Optimized Hybridization Approach for in silico High Throughput Molecular Docking on FPGA Platform.

The development process of a new drug should be a subject of continuous evolution and rapid improvement as drugs are essential to treat a wide range of diseases of which many are life-threatening. The advances in technology resulted in a novel track in drug discovery and development known as in silico drug design. The molecular docking phase plays a vital role in in silico drug development process. In this phase, thousands of 3D conformations of both the ligand and receptor are generated and the best conformations that create the most stable drug-receptor complex are determined. The speed in finding accurate and high-quality complexes depends on the efficiency of the search function in the molecular docking procedure. The objective of this research is to propose and implement a novel hybrid approach called hABCDE to replace the EMC searching part inside the BUDE docking algorithm. This helps in reaching the best solution in a much accelerated time and higher solution quality compared to using the ABC and DE algorithms separately. In this work, we have employed a new approach of hybridization between the Artificial Bee Colony (ABC) algorithm and the Differential Evolution (DE) algorithm as an alternative searching part of the Bristol University Docking Engine (BUDE) in order to accelerate the search for higher quality solutions. Moreover, the proposed docking approach was implemented on Field Programmable Gate Array (FPGA) parallel platform using Vivado High-Level Synthesis Tool (HLST) in order to optimize and enhance the execution time and overall efficiency. The NDM-1 protein was used as a model receptor in our experiments to demonstrate the efficiency of our approach. The NDM-1 protein was used as a model receptor in our experiments to demonstrate the efficiency of our approach. The results showed that the execution time for the BUDE with the new proposed hybridization approach was improved by 9,236 times. Our novel approach was significantly effective to improve the functionality of docking algorithms (Bristol University Docking Engine (BUDE)).

Successful Implementation of the AIUM Standardized 4-Year Residency Ultrasound Curriculum in Obstetrics and Gynecology: Lessons Learned and Way Forward.

Significant disparities in sonographic education exist in Obstetrics and Gynecology programs in the United States. To address the lack of standardization in ultrasound teaching, the American Institute of Ultrasound in Medicine (AIUM) assembled a multi-society task force in 2018 that resulted in the publication of a Consensus Report outlining a standardized ultrasound curriculum and competency assessment. The primary objective of the study was to implement the AUIM standardized curriculum within an Obstetrics and Gynecology residency program at a tertiary medical center, and report on the early implementation experience. The secondary objective was to assess current national practices in ultrasound training in Obstetrics and Gynecology residency programs. Study design was an effectiveness-implementation hybrid study of a structured ultrasound educational program based on the 2018 AIUM Consensus Report. The theoretical portion of the curriculum consisted of 26 hours of didactic lectures distributed over 4 years. For the practical component, residents received instruction from faculty and sonographers and independently acquired the required images as part of their regular clinical work. Simulator app access was also provided for additional opportunities to practice and acquire images. Deidentified images for the required competencies were uploaded to a WhatsApp group for review. Theoretical knowledge was assessed with a series of multiple-choice exams. Practical skills were assessed through grading of images submitted through WhatsApp as well as direct observations of resident scans. At the completion of 4 years, the assessment of both theoretical knowledge and practical skills was carried out using the ISUOG Basic Training Examination. National patterns in the area of ultrasound education were assessed with a four-question electronic survey of Obstetrics and Gynecology program directors in the United States. Analysis of both portions of the study was primarily descriptive. Four Obstetrics and Gynecology residents completed the curriculum spanning postgraduate years 1 through 4. The number of competencies completed ranged from 7 to 19 out of 41. All of the residents passed the theoretical and practical components of the ISUOG Basic Training Examination. For the residency program director survey portion of the study, response rate was 20% (59 of 290). Among the respondents, 55.9% reported having a structured curriculum and 34.4% reported implementing the AIUM curriculum. The two most commonly cited obstacles to implementation of structured ultrasound teaching were uncertainty with how to start the process (49.2%) and lack of faculty engagement (49.2%). Implementation of the AIUM Curriculum within the framework of an Obstetrics and Gynecology residency program at a tertiary medical center is feasible. In our experimental group, completion of the curriculum resulted in passing of an internationally recognized validated assessment. Obstacles to implementation in our program included a wide range of engagement and participation among residents, and limited opportunities to obtain some of the required competencies. Identification of obstacles to implementation from the perspective of residency program directors is critical for developing targeted approaches to ensure widespread implementation. Successful standardized validated sonographic training of graduating Obstetrics and Gynecology residents is crucial for this operator-dependent modality that has tremendous implications on patient safety and clinical care.

Flavonoid-metal ion Complexes as Potent Anticancer metallodrugs: A comprehensive Review.

Flavonoids and their analogous are mainly found in pink lady apples, green and black tea (catechins), celery and red peppers, onions, broccoli and spinach, berries, cherries, soybean, citrus fruits, and fungi. The different derivatives of flavonoids belonging to polyphenolic compounds such as 3,4',5,7-Tetrahydroxyflavylium (pelargonidin), 2-(3,4-Dihydroxyphenyl)chromenylium-3,5,7-triol (cyanidin), 3,3',4',5,5',7-Hexahydroxyflavylium (delphinidin), 3,3',4',5,7-Pentahydroxy-5'-methoxyflavylium (petunidin), and 3,4',5,7-Tetrahydroxy-3',5'-dimethoxyflavylium (malvidin) can act as good chelating agents for metal-chelate complex formation. These flavonoid-metal complexes have been reported to have various biomedical and pharmacological activities. Flavonoid-metal ion complexes display a broad spectrum of biological properties such as antioxidant, anti-inflammatory, anti-allergic, antiviral, anticarcinogenic, and cytotoxic activity. The literature survey showed that flavonoid metal complexes have potential therapeutic properties against various cancerous cells. The objective is to gain insight into the current perspective and development of novel anticancer metallodrug drugs. The flavonoid-metal ion complexes can be prepared by reacting flavonoid ligand with appropriate metal salt in aqueous or alcoholic reaction medium under stirring or refluxing conditions. In this review article, the various reported methods for the synthesis of flavonoid-metal complexes have been included. The utility of synthetic methods for flavonoid-metal complexes will support the discovery of novel therapeutic drugs. In this review study, short libraries of flavonoid-metal ion complexes were studied as potential anticancer agents against various human cancer cell lines. The review report reveals that metal ions such as Fe, Co, Ni, Cu, Zn, Rh, Ru, Ga, Ba, Sn etc., when binding to flavonoid ligands, enhance the anticancer activity compared to free ligands. This review study covered some important literature surveys for the last two decades. It has been concluded that flavonoid metal complexes have been associated with a wide range of biological properties that could be noteworthy in the medicinal field. Therefore, to develop a new anticancer drug, it is essential to determine the primordial interaction drug with DNA under physiological or anatomical conditions. The study of numerous flavonoid metal complexes mentioned in this paper could be the future treatment against various cancerous diseases.

Silica-based pyrrolidinium ionic liquid immobilised on copper-citric acid metal-organic framework, ([PyrrSi][Cl]@Cu-Cit-MOF): Heterogeneous catalysis to the multicomponent reaction for the synthesis of imidazoles

A novel, silica-based pyrrolidinium ionic liquid immobilised on copper-citric acid metal-organic framework ([PyrrSi][Cl]@Cu-Cit-MOF), has been synthesised through an easy-to-handle procedure and is characterised by several techniques such as Fourier transform infrared (FTIR), scanning electron microscopy (SEM), energy dispersive X-ray (EDX), powder X-ray diffraction (PXRD), thermal gravimetric (TG), and Brunauer-Emmett-Teller (BET) analyses. The present protocol is scalable and compatible with a wide range of aldehydes, producing imidazole derivatives in excellent yields (82-96 %) in very short reaction times (10–18 min). Moreover, the catalyst could be recovered and recycled simply by filtration and is reusable for up to six consecutive runs without any significant changes in its catalytic activity.

New promising routes in peptic ulcers: Toll-like receptors and semaphorins.

Peptic ulcers (PU) are one of the commonest yet problematic diseases found to be existing in the majority of the population. Today, drugs from a wide range of therapeutic classes are available for the management of the disease. Still, the complications of the condition are difficult to tackle and the side effect profile is quite a concern. The literature indicates that Toll-like receptors (TLRs) and Semaphorins (SEMAs) have been under study for their various pharmacological actions over the past few decades. Both these signalling pathways are found to regulate immunological and inflammatory responses. Moreover, receptors and signalling molecules from the family of TLRs and SEMAs are found to have bacterial recognition and antibacterial properties which are essential in eradicating Helicobacter pylori (H. pylori), one of the major causative agents of PU. Our understanding of SEMAs, a class of proteins involved in cell signalling, is relatively less developed compared to TLRs, another class of proteins involved in the immune response. SEMAs and TLRs play different roles in biological processes, with SEMAs primarily involved in guiding cell migration and axon guidance during development, while TLRs are responsible for recognizing pathogens and initiating an immune response. Here, in this review, we will discuss in detail the signalling cascade of TLRs and SEMAs and thereby understand its association with PU for future therapeutic targeting. The review also aims at providing an overview of the study that has been into exploring the role of these signalling pathways in the management of PU.

Antioxidants, Hormetic Nutrition, and Autism.

Autism spectrum disorder (ASD) includes a heterogeneous group of complex neurodevelopmental disorders characterized by atypical behaviors with two core pathological manifestations: deficits in social interaction/communication and repetitive behaviors, which are associated with disturbed redox homeostasis. Modulation of cellular resilience mechanisms induced by low levels of stressors represents a novel approach for the development of therapeutic strategies, and in this context, neuroprotective effects of a wide range of polyphenol compounds have been demonstrated in several in vitro and in vivo studies and thoroughly reviewed. Mushrooms have been used in traditional medicine for many years and have been associated with a long list of therapeutic properties, including antitumor, immunomodulatory, antioxidant, antiviral, antibacterial, and hepatoprotective effects. Our recent studies have strikingly indicated the presence of polyphenols in nutritional mushrooms and demonstrated their protective effects in different models of neurodegenerative disorders in humans and rats. Although their therapeutic effects are exerted through multiple mechanisms, increasing attention is focusing on their capacity to induce endogenous defense systems by modulating cellular signaling processes such as nuclear factor erythroid 2 related factor 2 (Nrf2) and nuclear factor-kappa B (NF-κB) pathways. Here we discuss the protective role of hormesis and its modulation by hormetic nutrients in ASD.

Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling.

In this paper, we propose FGPR: a Federated Gaussian process ( GP) regression framework that uses an averaging strategy for model aggregation and stochastic gradient descent for local computations. Notably, the resulting global model excels in personalization as FGPR jointly learns a shared prior across all devices. The predictive posterior is then obtained by exploiting this shared prior and conditioning on local data, which encodes personalized features from a specific dataset. Theoretically, we show that FGPR converges to a critical point of the full log-marginal likelihood function, subject to statistical errors. This result offers standalone value as it brings federated learning theoretical results to correlated paradigms. Through extensive case studies on several regression tasks, we show that FGPR excels in a wide range of applications and is a promising approach for privacy-preserving multi-fidelity data modeling.

Cell-penetrating peptide and cationic liposomes mediated siRNA delivery to arrest growth of chronic myeloid leukemia cells in vitro

Gene silencing through RNA interference (RNAi) is a promising therapeutic approach for a wide range of disorders, including cancer. Non-viral gene therapy, using specific siRNAs against BCR-ABL1, can be a supportive or alternative measure to traditional chronic myeloid leukemia (CML) tyrosine kinase inhibitor (TKIs) therapies, given the prevalence of clinical TKI resistance. The main challenge for such approaches remains the development of the effective delivery system for siRNA tailored to the specific disease model.The purpose of this study was to examine and compare the efficiency of endosomolytic cell penetrating peptide (CPP) EB1 and PEG2000-decorated cationic liposomes composed of polycationic lipid 1,26-bis(cholest-5-en-3-yloxycarbonylamino)-7,11,16,20-tetraazahexacosane tetrahydrochloride (2Х3) and helper lipid 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) for anti-bcr-abl siRNA delivery into the K562 human CML cell line. We show that both EB1 and 2Х3-DOPE-DSPE-PEG2000 (0.62 % mol.) liposomes effectively deliver siRNA into K562 cells by endocytic mechanisms, and the use of liposomes leads to more effective inhibition of expression of the targeted gene (BCR-ABL1) and cancer cell proliferation. Taken together, these findings suggest that PEG-decorated cationic liposomes mediated siRNA delivery allows an effective antisense suppression of certain oncogenes, and represents a promising new class of therapies for CML.

Nanobiosensors: Concepts and emerging clinical applications.

Biosensors have been one of the most fascinating topics for scientists for a long time. This is because biological moieties are multifaceted and are unswervingly related to the presence of a healthy atmosphere. The biosensor approach has also endured profound changes in recent years. Biosensors have been emphasized for various applications, including food quality estimation, surveillance systems, and health and metabolic abnormality diagnostics. The advances in nanotechnology have led to a considerable potential to enhance biosensors' sensitivity, robustness, and anti-interference capabilities. Several new nanomaterials (such as nanoparticles, nanotubes, nanorods, and nanowires) have been fabricated due to the evolution of nanotechnology, and their unique features are gradually being identified, allowing for much faster detection and reproducibility. Biosensor performance has also been enhanced substantially as a result of their use. Because of their capacity to detect a wide range of compounds at deficient concentrations, nanobiosensors have sparked much interest. This article discusses biosensors based on various nanomaterials, their evolution, accompanying features, and their applications in multiple fields.

Experimental study and neural network model based prediction of layer thickness influence on LPBF IN625 single track geometry

The performance of interacting metal surfaces having sliding motion is enhanced by fabricating microfeatures on-top of the surfaces. Laser powder bed fusion (LPBF) is used to fabricate the microfeatures of IN625 on-top of a flat surface. In LPBF, geometrical characteristics of microfeatures are based on the energy supplied and the volume of material melted (layer thickness) at that instant of time. There is very few research reported in open literature on the effect of layer thickness on microfeatures geometry during LPBF. In this work, a series of single tracks is fabricated with different combinations of laser power and scanning speed for 75 μm, 100 μm, and 125 μm layer thickness and its effect on single track geometrical characteristics and microstructure was evaluated. It has been found that laser power and scanning speed have a significant influence on the track geometry irrespective of layer thickness. The minimum linear energy density of 2.5 J/mm is considered to fabricate the continuous track formation for investigated layer thickness. From statistical analysis, it is observed that the laser power and scanning speed shows higher contribution on track width and remelting depth, respectively. Whereas, layer thickness shows a higher influence on track height and contact angle of single track as compared to laser power and scanning speed. In 125 μm layer thickness, the volume of material melting is increased which encourages the gravity effect to deform the melt pool and produces larger track width compare to 100 μm layer thickness. Further, the cell spacing is gradually increased with layer thickness resulting increase in the solidification period. The shape controllability of the single track is significantly increased with layer thickness, but as keeps on increasing layer thickness due to the larger volume of molten metal, the melt pool losses ability to maintain convex shapes. An Artificial Neural Network (ANN) model is developed to understand the relationship between the LPBF process parameters and single track geometrical characteristics to predict the responses for a wide range of process parameters. The multiple response neural network model shows excellent agreement with experimental results with R2 value greater than 0.95.

Phytochemical and Pharmacological Attributes of Nerium oleander: A Review

Background: Nerium Oleander is an Indian folk medicine popularly known as oleander, contains numerous phytoconstituents and nutritional agents for the treatment of multiple ailments. Objective: The prime objective for the current comprehensive review is to focus on the elaboration of phytochemistry along with the Pharmacological significance of N. oleander. Methods: As per literature investigations it was noticed that plant contains various phytochemical constituents, including Oleandric acid, Kaneroside, Cardenolide, Nerizoside, Neritaloside, Odoroside- H,3-Ocaffeoylquinic acid along with structural isomer, 5-Ocaffeoylquinic acid, α-tocopherol, Oleandrin, Digitoxgenin along with nutritional ingredients viz essential fatty acids like omega- 3 fatty acids, and other polyphenols reported in N. oleander. Results: In recent investigations, it was observed that oleander possesses a wide range of medicinal attributes viz. anti-inflammatory, larvicidal, anti-cancer, Antidiabetic, Cellular/humoral immune response, Hepatoprotective, Wound healing, Anti-microbial, Antioxidant, Antinociceptive, Locomotor, Diuretic, and Anti leukemic activities. Conclusion: N. oleander could be an excellent candidate for discovering new medications because of its wide range of pharmacological action and the large diversity of active phytochemicals. However, to disclose the favorable therapeutic, safety, and pharmacological virtues of N. oleander and its phytoconstituents, more clinical and experimental investigations are needed.

Evidence and Prospects of Lycopene as Powerful Red Superfood: Modern Approach to Food Science

Abstract: Lycopene is a plant-derived important nutrient belonging to a group of pigments identified as carotenoids. Lycopene has distinctive chemical and structural features contributing to definite biological properties. Lycopene is a powerful antioxidant and prevents cells and tissues from damage caused by singlet oxygen or free radicals. Research studies have shown the healthpromoting potential of lycopene or its metabolites in the prevention of chronic diseases like diabetes, cancer, asthma, metabolic syndrome, arthritis, and cardiovascular diseases. Lycopene is stable for processing like other natural compounds when present in the plant tissue matrix. Over the last few years, the global lycopene market has increased in different sectors like pharmaceuticals, cosmetics, food and dairy products, and other dietary supplements. The most important aspect of lycopene as a superfood is its synergistic nature with other nutrients. The main aim of this review article is to study chemistry, biosynthetic pathways, biotransformation, sources, and acceptable daily intake. Its characterization as a superfood, therapeutic potential, and wide range of applications in the food industry are also studied.

A Comprehensive Review on Biological and Chemical Diversity in Aesculus L. Genus (Sapindaceae)

Abstract: Aesculus L. is a genus of 12 to 19 woody species, representing one of the most acclaimed examples of inter-continental incoherence of the plants native to temperate regions of the Northern Hemisphere. It is traditionally valued in Ayurveda and the Chinese system of medicine for its various species that possess antitumor, cardioprotective, anti-inflammatory and neuroprotective activities. Current studies on this genus have revealed the presence of specific saponins with a multispectrum of pharmacological actions and therapeutic applications. A repertoire of literature related to the biological, taxonomical, phytochemical and ethnopharmacological aspects of Aesculus genus and its uses in different indigenous populations was explored. An inventory of all the species of this genus that were found to be useful as per ethnopharmacological literature was prepared. The ethnobotany, phytochemistry and pharmacology of the individual species are outlined in this review. The extensive information cited here has adduced the likely areas where the important species of this genus can illustrate significant therapeutic intervention in the management of chronic disorders including diabetes, hypercholesterolemia and cancer. The wide range of its pharmacological actions is attributed to the distinct phytochemicals occurring in the species, especially the triterpenoidal saponins like aescin. This review amplifies the recent studies on phytochemical and pharmacological aspects, which alludes that these species have noteworthy therapeutic potential.

A Computational Investigation on Chitosan Derivatives using Pharmacophore- based Screening, Molecular Docking, and Molecular Dynamics Simulations against Kaposi Sarcoma.

Cancer is one of the most dangerous illnesses to the human body due to its severity and progressive nature. Kaposi's Sarcoma (KS) tumor can appear as painless purple spots on the legs, foot, or face. This cancer develops in the lining of lymph arteries and blood vessels. Along with the enlargement of lymph nodes, the vaginal region and the mouth portion are the additional target areas of KS. DNA-binding proteins known as Sox proteins are found in all mammals and belong to the HMG box superfamily. They controlled a wide range of developmental procedures, such as the formation of the germ layer, the growth of organs, and the selection of the cell type. Human developmental abnormalities and congenital illnesses are frequently caused by the deletion or mutation of the Sox protein. The purpose of this study is to determine the promising Kaposi's sarcoma inhibitors through computational studies. In this present study computational approaches were used to evaluate the anti- carcinogenic efficacy against Kaposi's sarcoma. Ligand-based pharmacophore screening was performed utilising four different chemical libraries (Asinex, Chembridge, Specs, and NCI Natural products (NSC)) depending on the top hypothesis. The top hits were examined using molecular docking, absorption, distribution, metabolism and excretion. Highest occupied molecular orbital and lowest unoccupied molecular orbital were analysed to determine the lead compounds' biological and pharmacological efficacy. The results of the study indicated that the leading candidates were possible SOX protein inhibitors. A pharmacophore model to inhibit the production of SOX protein in Kaposi Sarcoma was generated in this computational experiment using a set of 19 Chitosan compounds. The results revealed that the top hits responded to all of the pharmacological druglikening criteria and had the best interaction residues, fitness scores, and docking scores. The resulting leads might be potential Kaposi's Sarcoma alternative treatments.