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1340 articles for “Target”
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An Integrated Study to Extrapolate the Interaction of NMDAR with Potential Ligands for the Treatment of Alzheimer’s Disease Symptoms
Abstract: Objective: Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the health status of older adults especially those above the age of 60 years. As an outcome, two types of medications have been developed for the treatment of its symptoms which are acetylcholinesterase (AChE) and N-methyl-D-aspartate receptor (NMDAR) antagonist. This paper uses the computational approach to understand the interaction of NMDAR with four major phytocompounds (curcumin, L-epicatechin, ginsenosides, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 15–27 Read article
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Pharmacological Management of Parkinson’s Disease: Current Therapies and Emerging Treatments
Abstract: Objective: Parkinson's disease, behind Alzheimer's, is the second most common neurodegenerative ailment and a major cause of neurological morbidity worldwide. Clinical diagnosis is made, and current management is limited to symptomatic treatments, with levodopa remaining the cornerstone of pharmaceutical therapy. In certain patient groups, deep brain stimulation of specific basal ganglia targets can provide significant clinical relief. There are currently no proven disease-modifying medicines in clinical use that can halt …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 27–39 Read article
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Quantitative Structure-activity Relationship in Computer-aided Drug Design: A Review
Abstract: Quantitative Structure-Activity Relationship stands at the forefront of Computer-Aided Drug Design, providing a systematic framework for understanding the relationship between the chemical structure of molecules and their biological activity. The present review delves into the multifaceted realm of quantitative structure-activity relationship methodologies within the landscape of drug discovery. Through an exploration of diverse quantitative structure-activity relationship models, molecular descriptors, validation techniques, and recent advancements, the present article aims to elucidate …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 55–63 Read article
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Exploring The Therapeutical Potential Of Pongamia Pinnata For Herpes Simplex Virus Type 1 (HSV-1)
Abstract: Objective: Pongamia pinnata (L.), commonly known as Indian beech or pongam tree, is a tropical plant renowned for its medicinal properties in traditional medicine systems. Extracts derived from various parts of Pongamia pinnata have demonstrated antimicrobial, anti-inflammatory, and immunomodulatory activities. Such attributes make it a compelling candidate for exploring its therapeutic potential against HSV infections. Thymidine kinase is the target protein mostly used in the treatment of HSV1 infections. In …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 1–9 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Study Review: Molecular Mechanisms of Nanoparticle-Cell Interaction – Implications for Drug Delivery and Toxicity
Abstract: The application of nanoparticles in drug delivery and biomedical therapies holds great promise, yet their interaction with cells and the underlying molecular mechanisms remains areas of active research. This study explores the molecular mechanisms of nanoparticle-cell interactions, focusing on the effects of gold nanoparticles (AuNPs) and silica nanoparticles (SiNPs) in human cancer cell lines (HeLa and MCF-7). The study examines how nanoparticles are internalized by cells, their impact on cellular …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 31–40 Read article
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Investigating The Alkalizing Potential of Chandanasava For Restoring Acid-Base Homeostasis in Renal Tubular Acidosis: A Computational and In Silico Pharmacological Study
Abstract: Chandanasava, a traditional Ayurvedic formulation, is recognized for its potential alkalizing properties, which may help restore acid-base homeostasis in conditions such as renal tubular acidosis (RTA). This study aims to investigate the active components of Chandanasava and their interactions with key renal target proteins, Pendrin and Carbonic Anhydrase II, which are essential for maintaining acid-base balance. An in silico approach was utilized to explore the pharmacological potential of the phytochemicals …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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Nanomedicine in the Tumor Microenvironment: Physiological Modulation Through Tissue Engineering Approaches
Abstract: The integration of nanomedicine and tissue engineering offers transformative strategies for cancer therapy by directly modulating the physiological processes within the tumor microenvironment (TME). This review emphasizes recent advances in nanomedicine that enable precise drug delivery, controlled release, and real-time monitoring of key physiological parameters influencing tumor progression, angiogenesis, and immune evasion. Tissue-engineered 3D tumor models provide physiologically relevant platforms that better mimic in vivo conditions than traditional 2D cultures, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 19–31 Read article
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Natural and synthetic pesticide and their effect on life
Abstract: Natural and synthetic pesticides both play roles in pest control but differ significantly in their impact on life and the environment. Natural pesticides, often derived from plants and microorganisms, are biodegradable, eco-friendly, and generally exhibit lower toxicity to non-target organisms and humans. Synthetic pesticides, while highly effective in pest control and used extensively in conventional agriculture, tend to have greater toxicity, persist longer in the environment, and pose more significant …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 8–13 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Advances in Stimuli-Responsive Smart Drug Delivery Systems: A Systematic Review
Abstract: Imagine a world where medicines work smarter, not harder. Stimuli-responsive drug delivery systems (SRDDS) are transforming healthcare by releasing therapeutic agents in response to specific triggers. These triggers can be internal, like changes in pH or temperature, or external, like light or magnetic fields. By leveraging these triggers, SRDDS can optimize treatment and minimize side effects. The potential applications of SRDDS are vast, from cancer treatment to gene delivery and …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 · pp. 01–09 Read article
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Integrating Network Pharmacology And Molecular Docking To Investigate The Possibility Of Rutin Against Gout
Abstract: Objective: Gout is an arthritic condition resulting from the deposition of monosodium urate crystals in and around the joints. Rutin, a bioflavanoid or a plant pigment that is mainly found in vegetables and fruits.It is widely known for its anti-inflammatory and antioxidant activity.Hence this research paper proposes the use of an integrated approach of network pharmacology and molecular docking to investigate the potential of Rutin as a treatment option for …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 14–27 Read article
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Structure based pharmacophore Modelling of compounds against Neurodegenerative disorder – Amyotrophic Lateral sclerosis
Abstract: Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive degeneration of motor neurons, leading to muscle dysfunction, paralysis, and eventually death. These diseases are classified as ALS variations because autopsies reveal abnormalities in both upper and lower motor neurons. These disorders account for only 10% of all adult-onset motor neuron disease cases. Despite extensive research efforts, effective therapeutic interventions for ALS remain limited. Structure-based pharmacophore modeling …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 1–17 Read article
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Social Marketing in Public Health
Abstract: Social marketing in public health is application of commercial marketing concepts, tools, resources, skills and technologies to encourage socially beneficial behavior especially among poorly or inadequately served segments of the population. It can be product- or behavior-focused. It mainly aims at changing one’s behavior to promote health and prevent diseases for benefit of individual and society as a whole. Triad of social marketing comprises of behavioral goals, segmentation and marketing …
Published in Research and Reviews: A Journal of Health Professions · Vol. 2, Issue 1, 2012 · pp. 17–27 Read article
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An Evaluation of Letrozole and Clomiphene Citrate Efficacy as Ovulation Induction Medication in Females with Polycystic Ovarian Condition
Abstract: Polycystic ovarian condition is the most common endocrinopathy in anovulatory infertile females. As a long-established conventional treatment for ovulation induction, clomifene citrate (also known as clomiphene) is still recommended to PCOS patients as their first line of treatment. Indian PCOS women are more prone to have high levels of clomiphene resistance due to the high frequency of insulin resistance . While letrozole has a high potential for ovulation induction, it …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 23–29 Read article
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Utility of Masked Priming Paradigm in Treatment of Anomic Aphasia: An Exploratory Study
Abstract: The study was carried out with the aim of testing the utility of masked priming paradigm in persons with anomic aphasia. The study was carried in two phases, in the training phase line drawings were used, the participants were asked to observe the prime and focus on the target. Nouns were used as target; the nouns were preceded by primes which were either semantically related or unrelated to the target. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 3, 2018 · pp. 30–33 Read article
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Harnessing the Bioactive Potential of Calotropis gigantea and Calotropis procera
Abstract: The medicinal plants of the Apocynaceae family Calotropis gigantea and Calotropis procera have gained more and more interest as source of bioactive molecules for biomedical applications like cancer therapy. They have various pharmacological activities, which are believed to be linked to various phytochemical constituents such as cardenolides, cardiac glycosides, flavonoids, triterpenoids, steroids, phenolic compounds, alkaloids, and proteins in their latex. The recent molecular and cellular studies show that extracts and …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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Risk Analysis of Android Apps and Fake ID Flaw Solution Model
Abstract: In this era of modern technology where everyone rely on the latest technical specifications especially concerning with the latest mobiles and apps. Keeping this in mind the various software companies have launched their own operating system for mobile, and in the same field ‘Google’ also launched their own mobile operating system android which has its own technicality and specification which is competing with the other company’s operating system. After using …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 46–58 Read article
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Use of single time reference measurements of bus variable in the determination of voltage instability condition of a power system
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The paper describes a measurement based voltage stability index for monitoring of voltage stability condition of a power system. For this purpose, it is required to measure the voltage and reactive power of a target/selected (bus under investigation) along with the voltages of the other buses connected to the target/selected bus for a single time instant. These measurements and transmission line parameters …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 1, 2014 · pp. 24–30 Read article