ISRP | IJAIDR

Latest Articles

A Comprehensive review of Medicinal Plant Database, Drug Discovery, and Model Organism Databases: Insights into Biomedical Research

by Menaka Karuppannan, Swathi Sakthivel and Gnanendra Shanmugam
Department of Biotechnology, Vivekanandha College of arts and Sciences for Women (Autonomous),
Elayampalayam, Tiruchengode, Tamilnadu, India

Abstract : In this review, our focus is on biomedical research database that are reported housed mostly by the National institute of Health of the United States .This review presents an overview of three critical domains in biomedical research: medicinal plant databases, drug discovery databases, and model organism databases. By compiling these sources, we aimed to put forth the relevant resources that are key in drug discovery and development. Our focus includes comprehensive searches across multiple databases, including Medicinal Plant Database, Drug Discovery, and Model Organism Databases. Moreover, our investigation on 11 Model organism databases provides valuable insights into drug efficacy, toxicity, and translational research. Medicinal plant databases provide information about classifications, activities, phytochemicals, test targets and structure of phytochemicals in different formats. Drug and drug discovery databases help researchers find and develop new medications by providing organized and accessible information about existing drugs and potential candidates for further study. Brief descriptions of each Database, as well as details including data source, type, study model, availability of access are provided. Furthermore, the entire databases reported here are continuously updating databases according to their user feedbacks and with advancing technologies. Thus, this review highlights how combining updated information from medicinal plants, drug discovery, and model organism databases helps the researchers to make faster progress in medical research and developing treatments.

---

Comparative Genomics of SARS-CoV and SARS-CoV-2 Using Fuzzy Sets: Insights into Viral Therapeutic Implications

by Tamil Bharathi Viswanathan¹, Anitha Devi Dinakaran² and Gnanendra Shanmugam^1
1Department of Biotechnology, Vivekanandha College of arts and Sciences for Women (Autonomous),
Elayampalayam, Tiruchengode, Tamilnadu, India
²Department of Mathematics, Shri Sakthikailassh Women’s College, Salem, Tamilnadu, India

Abstract : Severe acute respiratory syndrome coronavirus (SARS-CoV) and the 2019 novel coronavirus (SARS-CoV-2) are highly infectious pathogens that primarily affect the human respiratory system, causing a range of respiratory illnesses from mild to severe. The SARS-CoV outbreak in 2003 resulted in significant global fatalities, while the ongoing COVID-19 pandemic, caused by SARS-CoV-2, has led to millions of deaths worldwide and has had profound impacts on healthcare systems and the global economy. Genomic analysis plays a crucial role in understanding these viruses and developing effective therapies. In this commentary, we discuss the use of genomic data, including high-throughput sequencing and gene expression analysis, in drug development for COVID-19. We highlight the similarities between the genomes of SARS-CoV and SARS-CoV-2, using fuzzy logic to estimate their distance. Our analysis indicates considerable similarity between the two genomes, suggesting potential commonalities in drug targets. The comparison of these genomes demonstrates the importance of genomics in understanding viral pathogenicity and developing targeted therapies. The use of fuzzy logic in genomic analysis provides a valuable tool for comparing genetic sequences and identifying potential drug targets. Continued research in genomics and bioinformatics is essential for combating current and future viral outbreaks

---

Exploring the Potential of Cocos nucifera Phytochemicals in the Effective Management of Breast Cancer via ER-Alpha Targeting

by Deenatharani Shanmugam, Amsaveni Kuppusamy, and Berciyal Golda Peter
Department of Biotechnology, Vivekanandha College of arts and Sciences for Women (Autonomous),
Elayampalayam, Tiruchengode, Tamilnadu, India

Abstract : Cocos nucifera L., commonly referred to as the coconut tree, is a vital plant in tropical and subtropical regions and is often called the "tree of life" due to its many uses and health benefits. Historically, coconut products have played a key role in traditional Indian medicine for treating conditions like bronchitis, gingivitis, and tumors. Known for its rich content of medium-chain fatty acids, coconut exhibits a wide range of pharmacological properties, including antiviral, antibacterial, anti-inflammatory, and anticancer effects. This study investigates the potential of coconut-derived phytochemicals as inhibitors of Estrogen Receptor-Alpha (PDB ID: 3ERT), a key target in breast cancer therapy, through molecular docking techniques. The results identified Ar-turmerone (CID: 558221) as having a binding affinity of -5.7 kcal/mol, closely aligning with the standard breast cancer treatment drug Tamoxifen (CID: 637517), which showed a slightly higher affinity of -6.1 kcal/mol. Additionally, other coconut-based compounds, such as lauric acid, capric acid, and caprylic acid, demonstrated potential anticancer activity. These findings suggest that phytochemicals from Cocos nucifera L., particularly Ar-turmerone, hold promise for breast cancer treatment and could be further developed as therapeutic agents. Furthermore, the study also hints at possible antiviral properties of these compounds. While the docking results are encouraging, they require further validation through in vitro and in vivo research to confirm their safety, efficacy, and practical application. Overall, this research highlights the potential of coconut-derived compounds in modern medicine, especially for cancer treatment.

---

Comparative analysis of Aquaponic, Hydroponic, and Geoponic systems for greenhouse cultivation of Vigna radiata and Centella asiatica

by Sujitha Arunraj, and Berciyal Golda Peter
Department of Biotechnology, Vivekanandha College of arts and Sciences for Women (Autonomous),
Elayampalayam, Tiruchengode, Tamilnadu, India

Abstract : Aquaponics is a technology within the integrated agri-aquaculture systems discipline that combines animal and plant culture to optimize resource conservation, nutrient cycling, and overall efficiency. This study compares plant growth across three cultivation methods of hydroponics, aquaponics, and soil-based (geoponics)over a 45-day period, focusing on Vigna radiata (Green Gram) and Centella asiatica (Gotu Kola). The primary objective was to assess whether water-based systems (hydroponics and aquaponics) promote greater plant height and leaf development compared to traditional soil cultivation. The results revealed that hydroponic systems achieved the most rapid growth, with green gram reaching 18 cm by the end of the experiment. Aquaponics also exhibited improved growth over the soil system, reaching a final height of 14 cm. Soil cultivation resulted in the slowest growth, with green gram attaining 13.7 cm by the end of the study. For Gotu kola, hydroponics showed the fastest growth, with rapid increases after day 5, while aquaponics followed a similar pattern with slightly slower rates. The soil system exhibited gradual growth, with a noticeable increase between days 19 and 25. These findings underscore the benefits of water-based cultivation methods, particularly hydroponics, in promoting faster and more efficient plant growth. The study emphasizes the importance of nutrient availability and water management in optimizing plant development and suggests the potential of hydroponics and aquaponics for enhancing agricultural productivity.