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239 articles for “retrieving data”
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New Data Transmission Model based on Probabilistic Coding
Abstract: This paper proposes a new model for data transmission possesses high level security and efficiency. The probabilistic coding is applied to design this model. The uniqueness comprises with the matrix, the operation lies with probability and the complexity comprises with the coding. Thus, the resultant is the proposed model. The transmission of data requires speed, accuracy, retrieval and security. There are noisy channels to transmit the information. There are also …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 2, 2019 · pp. 34–38 Read article
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 Read article
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Soil Moisture Retrieval from Brightness Temperature using Passive Microwave Remote Sensing
Abstract: Soil Moisture (SM) data are often a derived product of Microwave Remote Sensing (MRS) satellites. The brightness temperature (Tb) however, is a basic quantity associated with the satellites in the Microwave range and is available as a common data product from all MRS satellites. In this paper an attempt has been made to develop an algorithm to retrieve SM information directly from the Tb values obtained from the Advanced Microwave …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 3, 2014 · pp. 10–16 Read article
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Exploration of 5-Hydroxybowdichione Flavonoids As Inhibitors of Dengue Virus Ns5 RNA-Dependent RNA Polymerase Using Molecular Docking Approach
Abstract: Objectives: Human lives are now seriously threatened by dengue fever, which is brought on by the dengue virus (DENV). Aedes aegypti mosquitoes, which reproduce in still water, are the primary vectors of the arboviral virus known as dengue. It is well-recognized that phytochemicals have a high potential to eliminate bacterial, viral, and fungal infections in people. Thus, it demonstrates its inhibitory effects on the dengue virus. This study identifies some …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 1–16 Read article
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In Silico Analysis and Docking Study of the Active Phyto Compounds of Ginkgo Biloba Against Alzheimer's Amyloid-Beta Protein
Abstract: Objective: Alzheimer's disease, an age-related progressive neurological condition, arises due to the accumulation of amyloid-beta protein within the brain. In this study, an attempt was made to explore the potential of natural compounds derived from Ginkgo, known for their diverse medicinal properties, in the prevention of the disorder by employing molecular docking techniques, conducting drug-likeness prediction assessments, and performing ADME analysis. Methods: Amyloid beta protein was retrieved from the PDB …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 17–30 Read article
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Drugs for Alzheimer’s Disease from Salix Alba Discovered Computationally Utilizing Virtual Screening and Docking against 1b41 Protein
Abstract: Objective : The of this research is to evaluate the feasibility of using molecular docking techniques to identify novel acetylcholinesterase, a key enzyme implicated in the pathogenesis of Alzheimer’s disease, a neurodegenerative disorder with a gradual but steady progression to death, due to the gradual accumulation of beta-plaques and neurofibrillary tangles, as well as a decline in acetylcholine levels. Due to its function in converting acetylcholine into acyl and choline …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 07–19 Read article
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Molecular Docking and Interaction of Anthocyanin Derivatives in Regulating Hippo-taz Pathway for Renal Injuries
Abstract: Introduction: The Hippo pathway plays a pivotal role in renal disease, with Yes-associated protein (YAP) exhibiting promise for combined treatments. The crucial evaluation of YAP-targeted drug safety and efficacy through preclinical studies is imperative. Additionally, α-SMA and SMAD3 emerge as potential therapeutic targets in renal fibrosis, driving ongoing research toward innovative interventions. Materials and Methods: In the systematic identification of therapeutic secondary metabolites, Anthocyanin derivatives were methodically retrieved from the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 23–38 Read article
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Molecular Docking Studies for the Identification of Mycobacterial Adenosine Triphosphate (ATP) Synthase Inhibitors Using Active Phytocompounds from Plants Curcuma longa, Curcuma zedoaria and Galipea officinalis
Abstract: Objective: Tuberculosis (TB), known in human history for several decades, remains the second leading infectious disease after COVID-19. Still, the occurrence of TB increases due to the bacterium’s greater survival nature. They can survive in extreme conditions by being in long latency and adapting to the host. This study seeks to identify potential inhibitors from Curcuma longa, Curcuma zeodaria, and Galipea officinalis based on ancient folklore and compare them against …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 16–26 Read article
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Using Multitarget Molecular Docking to Examine the Antiviral Potential of Clerodendrum Phlomidis against Measles
Abstract: Objective: Measles, a viral disease caused by a member of the Paramyxoviridae virus family, is highly contagious and characterized by a respiratory illness and a maculopapular rash on the skin. Children are the main victims of the illness. In the context of drug development, this study investigates the efficacy of phytocompounds derived from Clerodendrum phlomidis against the target protein of the measles virus. Methods: The 7SKS protein was retrieved from …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 32–42 Read article
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In Situ Investigation of Hemidesmus indicus Phytocompound Extracts as a Therapeutic Target for Acute Myeloid Leukemia
Abstract: Objective: Acute myeloid leukemia (AML) is an apoptotic condition in the hematopoietic system induced by the differentiation and maturation of stem cells into erythrocytes, and leukemic cell proliferation is suppressed as the PI3K-Akt-mTOR pathway is pharmacologically targeted with certain inhibitors. As a result, in silico molecular docking of compounds against AML receptors, CTMP, was used in computational research on Hemidesmus indicus to uncover therapeutic phytochemicals for AML. Thus, this study …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 38–53 Read article
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Targeting Dystrophin Restoration and Neuroprotection in Duchenne Muscular Dystrophy: Insights from Withania somnifera
Abstract: Duchenne muscular dystrophy is a genetic disorder. This disease affects men more common than women. Main objective of the present study was to identify the naturally active phytocompounds from Withania somnifera (Ashwagandha). Ashwagandha has a great value in the field of Ayurveda and Indian medicine and is used for treating muscular and neurological disorders. Toxicity prediction, molecular docking, statistical information, drug illness prediction, and Absorption, distribution, metabolism, excretion, and toxicity …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 64–84 Read article
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Multitarget Molecular Docking Using Curcuma longa Phytocompounds for Polycystic Ovary Syndrome Treatment
Abstract: Objective: The primary goal of this research is to understand and describe specific aspects of molecular interaction, it includes studying various aspects such as binding affinity, binding mode, and stability of the ligand-protein complex. Molecular docking is a computational technique used to predict the preferred orientation of one molecule to a second when bound together to form a stable complex. In this study, molecular docking will be employed to stimulate …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 15–28 Read article
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Targeting Vasopressin 2 Receptor (V2R) in Renal Cystogenesis by Exploring the Nephroprotective Potential of “Terminalia arjuna”
Abstract: Objectives: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder, leading to the formation of multiple cysts in the kidneys. It is a major cause of end-stage renal disease (ESRD), which often requires dialysis or a kidney transplant for survival. This research focuses on identifying potential bioactive compounds derived from natural sources that show promise for drug development targeting the V2R gene. Methods: The naturally occurred …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 14–24 Read article
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Exploring Phytochemicals from Ricinus Communis for Potential Therapeutic Applications in Rheumatoid Arthritis: An in-Silico Approach
Abstract: Aim: Rheumatoid arthritis (RA) is a long-term autoimmune condition characterized by the immune system mistakenly attacking the joints, leading to swelling, discomfort, and joint deformities. Current management strategies include anti-rheumatic drugs and biologics, which have limitations. This study aims to explore the therapeutic potential of Ricinus communis (castor bean plant) phytochemicals as plant-based therapies for autoimmune conditions, like RA. Methods: Phytochemicals from Ricinus communis were retrieved using the IMPPAT database, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 32–41 Read article
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Screening Phytocompounds of Tinospora cordifolia to Find Potential Drug Targets for Cystic Fibrosis
Abstract: This study aimed to evaluate the therapeutic potential of phytocompounds derived from Tinospora cordifolia in treating cystic fibrosis (CF), a genetic disorder caused by mutations in the CFTR gene that lead to severe respiratory and digestive complications. Phytocompounds were retrieved from the IMPPAT database and subjected to molecular docking simulations using PyRx to assess their binding affinity to the CFTR protein. The top-scoring compounds – sterol, magnoflorine, tembetarine, kaempferol, and …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 16–24 Read article
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A Combined Molecular Docking Analysis of The Phytochemicals of Ginkgo biloba against The Parkin Protein Target (Autoinhibited Parkin Catalytic Domain)
Abstract: This study's goal is to evaluate the specific therapeutic targets for Parkinson's disease (PDB ID: 4BM9) using molecular docking simulation and ADME analysis against bilobalide, quercetin, ginkgolide B, and protocatechuic acid (3,4-Dihydroxybenzoic acid). The Protein Data Base was used to extract theprotein's three-dimensional structure, and the PubChem database was used to retrieve the ligands. Using Auto-Dock Tools-1.5.7, a molecular docking simulation of the compounds was carried out. Since none of …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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In Silico Molecular Docking Studies of Phytoconstituents Identified in Curcuma zedoaria Rosc. on Acetylcholinesterase: An Enzyme Target for Anti Alzheimer’s Activity
Abstract: Alzheimer’s disease (AD) is a chronic, progressive and disabling organic brain disorder characterized by disturbances of multiple cortical functions. Acetylcholinesterase (AChE) inhibition is thought to be a promising approach towards the treatment of AD. The aim and objective of the present study is to perform in-silico docking analysis of the major active constituents identified in Curcuma zedoaria Rosc. against AChE for anti-Alzheimer’s activity. In this perspective, phytoconstituents like bisdemethoxy curcumin, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 3, 2019 · pp. 9–14 Read article
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Artificial Intelligence -Driven in Clinical Pharmacy Practice: Transforming Medication Management and Patient-Centred Care
Abstract: Artificial intelligence (AI) is transforming clinical pharmacy practice by enhancing the safety, accuracy, and efficiency of medication management while supporting evidence-based clinical decision-making. Recent advances in machine learning, deep learning, natural language processing, and predictive analytics have enabled the integration of AI into various aspects of pharmacy practice, including drug discovery, pharmacovigilance, clinical decision support, personalized medicine, medication adherence, and patient counselling. The objective of this review is to provide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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From Documentation to Digital Stewardship: A Bibliometric Analysis of the Technological Transformation in Indigenous Knowledge Management
Abstract: This bibliometric study systematically maps the technological evolution of Indigenous Knowledge Management (IKM) over a 30-year period (1995–2025). It aims to identify the conceptual shifts and emerging technologies defining the transition from passive digital documentation to active algorithmic stewardship. The study utilises a scientometric approach to analyse a corpus of 835 unique documents retrieved from the Scopus database. Scientific-mapping techniques, including thematic evolution and keyword co-occurrence analysis, were performed using …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 Read article