Search
412 articles for “Gene targeting”
-
Microsphere and Nanoparticle Drug Delivery Systems: Role of Polymers in Pharmacology
Abstract: Microsphere and nanoscale drug delivery methods have changed the field of pharmacology by making treatment agents more bioavailable, more targeted, and easier to manage. These delivery systems, which are mostly made up of polymers, look like a good way to get around the problems that traditional drug formulations have, like not dissolving well, clearing quickly, and spreading in different places. Plastics are very important in the creation of these improved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 420–432 Read article
-
Microneedles: An Innovative Drug Delivery System
Abstract: Microneedles represent a groundbreaking innovation in drug delivery systems, offering a transformative alternative to conventional hypodermic needles and transdermal patches. This advanced technology combines the precision and efficacy of needle-based delivery with the convenience and pain-free nature of patches, creating a minimally invasive platform that addresses many limitations of traditional drug administration. Microneedles are designed to penetrate the stratum corneum – the skin’s outermost layer – without reaching pain-sensitive nerves …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 60–67 Read article
-
Use of CRISPR/Cas9 in Delivery System with Nanotechnology Concept
Abstract: In this emerging era of science and technology development, the use of drug delivery concept has made possible to cure several health problems, but for certain genetic diseases like Sickle cell anemia, chronic diseases like cancers, Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)/CRISPR associated system (Cas) gene-editing system is here as a promising tool to cure them by doing certain gene manipulation in specific gene area causing the disease. However, …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 12, Issue 2, 2022 · pp. 16–23 Read article
-
Data-Driven Design Framework for Biofunctional Polymer Composite Materials
Abstract: This paper introduces a knowledge-based design platform of biofunctional polymer composite substances through the combination of machine learning, materials informatics, and digital twins applications. The framework allows the effortless forecasting and maximization of mechanical, biological and degradation characteristics based on supervised, unsupervised and deep learning models. A materials database is accompanied by the AI algorithms to find the best material compositions and microstructure-property relationships. Experimental validation proves to be more …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
-
Revolutionizing Veterinary Diagnostics: Nanoparticles and AI Precision
Abstract: The field of veterinary diagnostics is undergoing a transformative revolution propelled by the synergistic integration of nanoparticles and artificial intelligence (AI) precision. Nanoparticles, with their unique physical and chemical properties, present a groundbreaking avenue for enhancing diagnostic sensitivity and specificity in animal healthcare. Engineered to interact with specific biological markers associated with various diseases, nanoparticles offer unprecedented accuracy in early disease detection. Furthermore, their versatility extends to targeted drug delivery, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 25, Issue 3, 2023 · pp. 35–39 Read article
-
Key of Certification to Scheme Cattle Food
Abstract: The present article is the scripture of animal husbandry to achieve scope via nanotechnology. Biological progress is important in farming; if achieved has been introduced in terms of new animal breeds and new production techniques. Basis of role has been developed from nutrition regime and type of feed and additives used, so forth has been interplays of animal production technology. Modern methods of animal production have assisted from bioengineering, genetic …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 10, Issue 2, 2021 · pp. 18–24 Read article
-
Review on Histological Effect of Lead on Liver and Kidney
Abstract: Our environment can be polluted by environmental toxins which are chemicals and other materials produced largely from industry and its products. There are large numbers of environmental toxicants which are potentially harmful to health. These large numbers of environmental toxicants can be divided into three major categories (heavy metals, air pollutants, and pesticides) and they are commonly studied environmental toxicants. Environmental toxins can be entered into the body by various …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 1, 2020 · pp. 8–29 Read article
-
A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
-
Design of Phase Coded Sequences for MIMO Radar Systems
Abstract: MIMO radar technology is emerging trend in the radar systems and researchers are interested to explore this technology. Phased array radars show single waveform radiated in one direction where has MIMO antennas can radiate in different directions and locate multiple targets with better resolution. To design waveform for MIMO radar, every transmitted waveform must orthogonal all corresponding waveform. Many binary orthogonal sequences, i.e., orthogonal with respect to frequency or phase …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 28–35 Read article
-
Facial Expression Recognition using Convolutional Neural Network
Abstract: Machine learning is a subset of Artificial intelligence. Machine learning enables self-learning from past data and predicts the future. Machine learning is used in many applications such as self-driving cars, Google translate etc. Deep learning is a subset of machine learning. CNN is a convolutional neural network. The CNN approach is very effective in image classification. The target of this exploration is to assist a look acknowledgment framework dependent on …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 30–35 Read article
-
Graphene-Polymer Nanocomposites for Drug Delivery Applications
Abstract: Graphene-polymer nanocomposites (GPNCs) have gained significant attention in drug delivery due to their exceptional physicochemical properties, including high surface area, mechanical strength, tunable functionality, and biocompatibility. These nanocomposites integrate graphene derivatives, such as graphene oxide (GO) and reduced graphene oxide (rGO), with biocompatible polymers to enhance drug loading efficiency, stability, and controlled release. Various natural (chitosan, alginate) and synthetic (PLGA, PEG, PCL) polymers are used to functionalize graphene, enabling targeted …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 362–374 Read article
-
Computational Investigation of Phytochemicals Targeting AKT1 for Major Depressive Disorder: A Molecular Docking and ADMET Study
Abstract: Major depressive disorder (MDD) is a prevalent neuropsychiatric condition affecting approximately 280 million individuals worldwide, with women exhibiting a 50% higher likelihood of diagnosis than men. Despite significant advancements in treatment, MDD remains a chronic and relapsing disorder, necessitating the exploration of novel therapeutic interventions. This study focuses on the AKT1 gene, a key player in neuropsychiatric disorders, and investigates its interactions with natural phytochemicals as potential alternatives to conventional …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
-
Targeting PTPN22 in Arthritis: Molecular Docking and Pharmacokinetic Evaluation of Artemisia vestita Compounds
Abstract: Rheumatoid arthritis (RA) is a long-term autoimmune condition characterized by inflammation of the synovial membrane, commonly resulting in swelling, pain, stiffness, and overall fatigue. Protein tyrosine phosphatase non-receptor type 22 (PTPN22) has been identified as a risk factor linked to various autoimmune diseases, including RA. In the PTPN22 gene, two missense Single nucleotide polymorphisms (SNPs) are associated with autoimmune conditions. The R620W (C1858T, rs247660) variant in exon 14 has been …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 20–31 Read article
-
Fruit Adulteration Detection Utilizing Machine Learning Methods
Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article
-
Awareness, Perceptions and Practices about Childhood Blindness among Parents Visiting a Tertiary Level Children Hospital in Delhi
Abstract: Childhood blindness impacts a child’s development, education, future work opportunities and quality of life. In nearly 50% of the cases, childhood blindness is treatable or preventable. Parents are the decision makers when it comes to children’s healthcare needs, and can play a crucial role in control of childhood blindness. The objective of this study is to assess the awareness, perceptions and practices among parents about common causes of childhood blindness …
Published in Research and Reviews: A Journal of Health Professions · Vol. 3, Issue 3, 2013 · pp. 6–10 Read article
-
Title-: Hello! Are we alone? If you're like me, you may want to know me
Abstract: A thin layer near the surface of Earth is teeming with life of huge diversity: from micro-organisms to plants, animals, and possibly even more intelligent species humans !. Up till now, human forms the only known samples of intelligent civilized life in the Universe? We humans accepted that the laws and concepts of physics and chemistry can be applied throughout entire cosmos. Is there then a general biology as well …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 3, 2019 · pp. 1–22 Read article
-
Comprehensive Analysis of MRSA Peptides Via Maldi
Abstract: The present study employed Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry to analyze methicillin-resistant Staphylococcus aureus peptides, focusing on various parameters associated with mass-to-charge (m/z) values. Through systematic data collection and analysis, including time, intensity, signal-to-noise ratios, quality factors, resolutions, areas under the peaks, relative intensities, full widths at half maximum, Chi-squared values, and background peaks, comprehensive insights into the spectral characteristics of methicillin-resistant Staphylococcus aureus peptides were obtained. Methicillin-resistant Staphylococcus …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 98–101 Read article
-
AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
-
Molecular Docking Technique Assisted Discovery of Some Hydroxylated Chalcone Molecules as α-glucosidase Inhibitors
Abstract: The present study involved exploration of the inhibitory potential of some A-ring hydroxylated chalcone compounds against PDB ID: 2QMJ file (Maltase-glucoamylase in complex with acarbose) with the assistance of iGEMDOCK (Genetic Evolutionary Method for Molecular Docking) software. The present study highlighted the immense potentials of several unexplored hydroxyl group (in ring-A) containing chalcones in successfully inhibiting the one of the most effective anti-hyperglycemic based enzymatic target α-glucosidase. The research has …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 1, 2019 · pp. 34–38 Read article