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268 articles for “discovery”
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Exploring Abies grandis phytocompounds potential by in silico analysis targeting on the 5P9J Protein
Abstract: Blood Cancer, also popular with name ‘Hematologic cancer’ have variety of types: Leukaemia, Lymphoma, Myeloma, uncontrolled multiplication of blood cells mainly affecting to bone marrow and blood cells (White Blood Cells). Lymphoma, originating from lymphatic system resulted in uncontrolled growth and instead of normal apoptosis development of tumor. Myeloma, uncontrolled formation of malignant plasma cells leads disrupting production of healthy blood cells. This situation creates variety of diseases like anaemia, …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 Read article
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Personalised Cancer Vaccination Strategies: Bridging Genomics, Bioinformatics, and Immunotherapy
Abstract: Immunotherapy has revolutionized cancer treatment by harnessing the body’s immune system to detect and destroy cancer cells. Personalised cancer vaccines are one of the most promising options because they could allow treatment to be based on the specific tumour profile of each person. The goal of these vaccines is to make the immune system recognise and fight cancer-specific antigens, which will lead to strong and long-lasting anti-tumor responses. However, moving …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Medicinal Properties of Oxytenanthera abyssinica: A Narrative Review
Abstract: Oxytenanthera abyssinica, a plant local to the African landmass, has gotten a parcel of intrigued in later a long time for its conceivable restorative benefits; it has been utilized in conventional medication for decades since of its assumed mending capabilities. In spite of its long history, careful logical examination into its restorative potential is being attempted. This review paper explore into the multidimensional part of O. Abyssinica is in progressed …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 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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An Extensive Analysis of Computer-Aided Drug Design for Novel Psychotropic and Neurological Substances
Abstract: A comprehensive review of the use of computer-aided drug design (CADD) in the creation of innovative neurologic and neuropsychiatric medications is given in this article. It discusses the challenges in traditional drug discovery approaches and highlights the role of computational methods in accelerating the identification and optimization of drug candidates targeting psychiatric and neurological disorders. The method of finding new drugs has been completely transformed by Computer-Aided Drug Design (CADD), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
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Dr. Somenath Dutta, Discoverer of Micro-RNA (MiRNA) Therapeutic to Prevent Harmful Zika Virus for Liver Cancer: A Scientometric Portrait
Abstract: Dr. Somenath Dutta allies Rahul is a global recognized scientist for his outstanding recent discovery of “miRNA therapeutics for the Zika virus” at the age of 26 years, which can be cured Liver Cancer and allied health problems due to Zika virus disease. This study covers his 12 publications in variety of forms including 07 journal articles (59%), 03 conference papers (25%), 01 dissertation, and 01-chapter paper during 2019-2024. All …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 22–36 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article
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Extrapolations of Periwinkle Secondary Metabolites as Multitarget Inhibitor of Breast Cancer Proteins
Abstract: Objective: Breast cancer is considered one of the most common and dangerous forms of cancer. It is a significant public health issue on a global scale. The study estimates that 10.0 million people will die from cancer this year, and 19.3 million people will develop the disease overall (BC). In this computation approach, nowadays emphasizes new drug discovery, the target protein epidermal growth factor receptor (EGFR) (5UGB), estrogen receptor (ER) …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 36–49 Read article
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Tinospora Sinensis Compounds for Zika Virus Targets 5JRZ and 5KVD In Silico Screening: A Potential Approach to Preventing Guillain-Barre Syndrome
Abstract: Objective: GBS is a very rare kind of disease but at the same time, it is very dangerous too. The study estimates that people who are suffering from zika virus infection are more prone to GBS. According to surveys, 1 out of 4000 people got affected by this disease, and the scariest part of this disease is that there is no cure available. In this computational era drug discovery is …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 1–15 Read article
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Antibiotics – Challenges in our Post-COVID Era
Abstract: Accidental discovery of the antibiotic properties of penicillin marked a watershed moment in healthcare, transforming the landscape of medicine and saving countless lives of injured and infected. Further research and awareness on the advantages of this “miracle drug” resulted in its bulk production in the 1940s, and played a crucial role in saving lives of thousands during World War II. Subsequent discoveries especially broad-spectrum antibiotics paved the way for further …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 1–5 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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Uterine Leiomyosarcoma: A Diagnostic Dilemma
Abstract: Tumours that fall under the category of uterine malignancies include carcinosarcomas, leiomyosarcomas, endometrial stromal sarcomas, and undifferentiated sarcomas. Of them, leiomyosarcoma is the most common subtype, while still quite uncommon—it accounts for 1% to 2% of uterine cancers. Since postmenopausal bleeding is typically present in leiomyosarcomas, prompt detection is essential for successful treatment. This case study features a 50-year-old female patient who had postmenopausal bleeding, which is a common sign …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 38–42 Read article
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Advancements in Drug Design Technology and Its Impact on COVID-19 Treatment
Abstract: The deadly coronavirus disease 19 (COVID-19) pandemic has recently spread, raising concerns about global health. The search for novel therapeutic compounds is made more necessary by the persistent problem of the absence of licensed medications or vaccinations. By saving money and time, computer-aided drug design has sped up the process of finding and developing new drugs. The structured-based and ligand-based drug discovery subcategories of computer-aided drug design (CADD) are the …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 1–15 Read article
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Anticancer Activity of Calotropis procera by Molecular Docking Analysis
Abstract: Cyclin-dependent kinase 2 (CDK2) is a protein synthesized by Calotropis procera. It is known to be responsible for causing cancer in the human body. Studies have presented the significance of the phytochemicals to inhibit the CDK2 protein. Adsorption, distribution, metabolism, and excretion (Swiss ADME) and PubChem were the pharmacological tools which were used to check molecular weight, which should be less than 500D, acceptors less than 10, and donors less …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 01–07 Read article
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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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Aquatic Ecosystems: A Review on Prospecting of Anticancer Molecules from Fungi & Other Microbes
Abstract: Marine biota; namely, actinomycetes, bacteria, fungi, microalgae, green algae, oceanic weeds, mangroves, and other extremophiles constitute about 90% of the oceanic biomass. The organisms are taxonomically diverse, biologically productive/active, and biochemically unique. These unique biochemiques may act as a great source for the discovery of new bioactive molecules, including anticancer drugs. The marines produce medicinally potent biochemicals; namely, sulfated saccharides, polyphenols, and, sterols. Only a few of these alkaloids have …
Published in International Journal of Fungi · Vol. 1, Issue 2, 2024 · pp. 1–22 Read article