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208 articles for “target identification”
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Targeting TNFSF4 in the Management of Systemic Lupus Erythematosus
Abstract: Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disorder that remains a significant challenge for both healthcare providers and researchers. Despite advances in understanding its mechanisms, finding effective therapies is still difficult. This review highlights a potential therapeutic target in SLE research: tumor necrosis factor superfamily member 4 (TNFSF4), also referred to as OX40L. We explore how TNFSF4 contributes to SLE development, looking at its role in immune system regulation …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 6–14 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Molecular Docking-Based Analysis of Rauvolfia serpentina Alkaloids Targeting HPV E1 and L1 Proteins for Antiviral Therapeutic Potential
Abstract: Human papillomavirus (HPV) is a major cause of cervical cancer and other epithelial cancers. E1 and L1 proteins are crucial to the virus's lifespan. E1 is a viral helicase that is needed for HPV DNA replication, and L1 is the main structural capsid protein that builds the virion and infects target cells. Going after these proteins is a good way to stop viruses from spreading. In this case, Rauvolfia serpentina, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 100–113 Read article
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Interaction of Bioactive Component of Aframomum melegueta on Molecular Docking
Abstract: Computational mimicry of the structure of large complexes created by di- and poly-interaction of molecules has been termed molecular docking. The purpose of molecular docking is the prediction of the three-dimensional structures of interest, this is due to that docking only produces plausible candidate structures. The docking was carried out between the bioactive compounds against 5α-reductase, 3β-hydroxy-steroid dehydrogenase, and 17β-hydroxy-steroid dehydrogenase of returned binding energy, BE (kcal/mol) between -5.9 and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 51–60 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Carbon Capture Technologies: Innovations, Challenges, and Environmental Implication
Abstract: This review work provides a comprehensive overview of carbon capture and storage (CCS) technologies, their status, and future directions. It examines various capture methods, including pre-combustion, post-combustion, oxyfuel combustion, and direct air capture, as well as emerging and hybrid technologies such as metal-organic frameworks, ionic liquids, and microencapsulation. The study discusses the limits of current technologies and attempts to point out innovations needed to ameliorate these challenges. It also explores …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 1, 2025 · pp. 7–18 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Dengue in India : Insights in the Indian Context
Abstract: The mitigation of infectious diseases in India, notably Dengue, assumes pivotal importance due to their significant repercussions on human and animal health, thereby imposing a considerable burden on the healthcare infrastructure. This review underscores the ongoing initiatives in infectious disease management, endorsing the implementation of a comprehensive healthcare strategy. Emphasis is placed on the augmentation of reporting mechanisms through the integration of IgM detection kits, advocating for heightened investments in …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 10–13 Read article
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Biomechanical Impact of Text Neck Syndrome on Cervical Spine and Upper Quarter Musculoskeletal System
Abstract: Text Neck Syndrome (TNS) has emerged as a modern musculoskeletal disorder associated with prolonged use of handheld digital devices, resulting in sustained cervical flexion and altered spinal biomechanics. This article explores the biomechanical consequences of TNS on the cervical spine and upper quarter musculoskeletal system, including muscular imbalance, altered load distribution, ligamentous strain, and degenerative changes. Increased cervical flexion significantly elevates compressive forces on intervertebral discs and facet joints, disrupting …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 Read article
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Assessing the Increasing Incidence of Prostate Cancer in Urban Delhi: Risk Factors, Early Detection, and Treatment Challenges
Abstract: Background: Prostate cancer has emerged as the second most prevalent cancer among men in India, with rapidly increasing incidence rates in urban areas like Delhi. This rise is attributed to urbanization, lifestyle changes (high-fat diets, tobacco use, sedentary behavior), increased life expectancy, and improved diagnostics. Despite its growing burden, low awareness, limited screening programs, and treatment barriers hinder early detection and effective management. This study examines the epidemiological trends, risk …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 21–28 Read article
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Bacteriophages- A New Frontier in Medicine
Abstract: Bacteriophages, or phages, are viruses that specifically target and infect bacteria, offering an innovative alternative to traditional antibiotic treatments, especially in the face of rising antibiotic resistance. The resurgence of phage therapy has been driven by the increasing prevalence of multidrug-resistant bacterial strains and the slowdown in the development of new antibiotics. Phages, unlike antibiotics, target specific bacterial strains, reducing the impact on the natural microbiota and potentially offering a …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 31–35 Read article
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Design and Ballistic Performance Assessment of Pattern-Optimized Lightweight Composite Armor Using ANSYS Explicit Dynamic and AUTODYN
Abstract: This study investigates the ballistic performance of lightweight composite armor panels designed to defeat 9 mm full-metal-jacket (FMJ) threats using high-fidelity numerical simulations. Four different composite materials were arranged into panels of identical overall dimensions; only the internal segment pattern was varied to explore geometric resistance effects while keeping mass and material type controlled. Ballistic impact simulations were performed using ANSYS Explicit Dynamics and AUTODYN to capture high-strain-rate behavior, local …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 174–190 Read article
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Evaluation of Patient-Specific Quality Assurance for RapidArc Treatment Delivery Using Dose Volume Histogram
Abstract: This study aims to evaluate the application of dose volume histogram (DVH) metrics within the patient-specific quality assurance (PSQA) protocol in various sites for RapidArc treatment delivery. Forty patients were included in this study, of which twenty each Head and Neck (H&N) and Pelvis Rapid Arc plans were evaluated. Octavius 4D 1500 detector array with vented parallel plate ion chambers was used for this study, which reconstruct the pre-treatment measured …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 14–22 Read article
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One Nation, One Subscription (ONOS) : Reshaping Library Acquisition in Government Colleges of Gujarat
Abstract: The study investigates the awareness and readiness of library professionals in the government colleges of Gujarat about the One Nation, One Subscription (ONOS) program. The objectives cover to evaluate library professionals’ knowledge, recognize their requirements for infrastructure and training, identify benefits and challenges they predict and recommend the idea for the betterment of the initiative. The study divided responses into five geographical regions of Gujarat like Central, East, North, South, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 Read article
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Unraveling Ulcerogenesis: A Comprehensive Delve of Enteric & Nonenteric Ulcers
Abstract: Enteric ulcers present a multifaceted landscape encompassing both peptic and non-peptic varieties, demanding a thorough exploration of their manifestations, causes, and pathophysiology. At the forefront of understanding lie pivotal factors such as Helicobacter pylori infection, nonsteroidal anti-inflammatory drugs usage, lifestyle choices, and stress, each wielding significant influence over ulcer development and progression. The intricate interplay of these factors underscores the complexity of enteric ulcer etiology. Helicobacter pylori infection—a prevalent culprit—inflicts …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 25–40 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology Read article
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Landmine Detection Robot with Live Surveillance
Abstract: Abstract Nowadays in war-torn communities around the world, landmines are causing immense civilian casualties. A land mine is an explosive device, which is meant to destroy or disable enemy and buried under or on the ground, especially in the mined countries like Afghanistan and Iraq. Accordingly, the majority of land mines are located under the ground surface and are triggered by pressure or tripwire. Mostly the surface of the landmines …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 28–35 Read article
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Computer-aided Drug Design Method for Anti-hepatitis C Drug Design
Abstract: Hepatitis C is a disease caused by the hepatitis C virus and can cause serious liver damage. There is currently no vaccine for this disease and the number of infections continues to increase worldwide. Currently used antiviral drugs are interferon alfa-2a and ribavirin, but about half of patients do not respond to therapy. Therefore, new drugs that protect against hepatitis C need to be investigated. Computational drug methods have been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Molecular Docking, QSAR Modeling, and ADMET Evaluation of Novel Pyrazolo-Pyrimidine Derivatives as Potential CDK-2 Inhibitors for Cancer Therapy
Abstract: Cyclin-dependent kinase-2 (CDK-2) is an essential regulator in cell cycle progression and is an important therapeutic target in cancer drug development. In the present study, an integrated computational approach involving molecular docking studies, QSAR modeling, ADMET prediction, and artificial intelligence-based analysis was used to identify pyrazolo-pyrimidine derivatives as potential CDK-2 inhibitors. Based on the molecular docking results, it was found that selected compounds exhibited high binding affinity towards the ATP …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article