Genome Publications

EXPERIMENTAL PHARMACOGNOSY AND PHYTOCHEMISTRY – I

Dr. S. Lakshmi Devi, Dr. S. Kannan — Thu, 20 Nov 2025 00:00:00 +0000

The exercises included in this manual cover a range of fundamental techniques such as chemical identification tests, determination of stomatal and vein-islet numbers, measurement of anatomical features using a micrometer, and evaluation of pharmacognostic constants such as ash value, extractive value, and moisture content. Additional experiments include the Lycopodium spore method, and assessments of swelling and foaming indices, which are crucial for standardization and quality assurance in herbal drug formulations. Each experiment has been structured to encourage independent learning and critical thinking, while adhering to academic rigor and standard protocols. The manual also emphasizes the significance of accuracy, observation, and documentation, which are essential skills for any aspiring pharmaceutical professional. It is our hope that this manual serves not only as a practical guide, but also as a stepping stone for students to further explore the vast and evolving discipline of Pharmacognosy and Phytochemistry.

Comprehensive Approaches in Computer-Aided Drug Design: QSAR, Docking, Screening, Homology, Pharmacophore and AI-Driven Insights

Tue, 21 Oct 2025 00:00:00 +0000

The advent of computer-aided drug design (CADD) has revolutionized the paradigm of pharmaceutical discovery by integrating computational chemistry, molecular biology, pharmacology, and artificial intelligence into a cohesive framework for rational drug development. This book, Comprehensive Approaches in Computer-Aided Drug Design: QSAR, Docking, Screening, Homology, Pharmacophore and AI-Driven Insights, presents an in-depth synthesis of foundational theories, modern algorithms, and translational strategies that define the digital transformation of drug discovery. The twenty chapters collectively explore the evolution of QSAR methodologies from one-dimensional statistical correlations to multidimensional and AI-enhanced models; the principles of molecular docking and dynamics for structure-based design; and the roles of pharmacophore modeling, virtual screening, and chemoinformatics in ligand prioritization. Further sections extend into machine learning, network pharmacology, de novo generative design, and quantum computing, illustrating how these innovations transcend traditional limits of chemical and biological exploration. Each chapter provides theoretical grounding, comparative methodology, and detailed computational workflows, supported by contemporary research evidence, case studies, and future perspectives. By bridging classical concepts with cutting-edge developments such as graph neural networks, diffusion models, and sustainable computational practices this volume aims to equip researchers, educators, and professionals with a unified, methodologically rigorous reference. Ultimately, the book envisions CADD as a cornerstone of next-generation pharmaceutical innovation, enabling predictive, explainable, and ethically responsible drug discovery across diverse therapeutic frontiers.

Machine Learning in Research and Practice: A Multidisciplinary Perspective.

Fri, 05 Sep 2025 00:00:00 +0000

This book presents a multidisciplinary exploration of machine learning techniques, frameworks, and applications across diverse real-world domains. Beginning with foundational concepts of supervised, unsupervised, and reinforcement learning, the chapters progressively highlight modern approaches such as natural language processing, deep learning, and transformer-based architectures. Topics include automated medical diagnosis, drug discovery, resume analysis and interview preparation, underwater image classification, and real-time suspicious activity detection. Each contribution emphasizes practical implementation strategies covering dataset preparation, preprocessing, feature extraction, model optimization, and evaluation metrics along with discussions of domain-specific challenges such as data imbalance, interpretability, and ethical considerations. Experimental studies across chapters consistently demonstrate the potential of machine learning to achieve higher accuracy, scalability, and efficiency compared to traditional approaches. Collectively, the book offers insights into emerging research trends and practical methodologies, bridging theory with application in healthcare, security, environmental monitoring, and intelligent automation.

3D Bioprinting: Advances, Challenges, and Fabricating the future

Mon, 14 Jul 2025 00:00:00 +0000

The field of 3D bioprinting represents a transformative frontier in biomedical innovation, merging biology, engineering, material science, and computer-aided design to revolutionize healthcare and regenerative medicine. This comprehensive book, 3D Bioprinting Revolution: Advances, Challenges, and the Future of Innovation, delves into the multidisciplinary essence of bioprinting, exploring its fundamental principles, technological advancements, and far-reaching applications. The content spans from the evolution of additive manufacturing to the intricacies of bioink development and the engineering of sophisticated bioprinters. Practical applications such as organ and tissue fabrication, personalized medicine, drug discovery, and non-medical uses like food and environmental biotechnology are thoroughly examined. The book also addresses current challenges, including bioink limitations, regulatory hurdles, and ethical considerations, while offering insights into emerging trends and future directions such as 4D bioprinting and AI integration. By highlighting both the scientific foundation and the societal impacts of bioprinting, this work provides a holistic guide for researchers, clinicians, students, and industry professionals navigating this rapidly evolving field.

Modern Therapeutic Pharmacology: Precision Therapeutics Across Organ Systems

Mon, 09 Jun 2025 00:00:00 +0000

This book provides a comprehensive and authoritative exploration of modern pharmacology, blending classical foundations with emerging concepts in precision therapeutics and system-based approaches to drug development and clinical application. It is structured to guide readers through all major organ systems, including cardiovascular, central nervous, respiratory, endocrine, renal, gastrointestinal, hematologic, dermatologic, ophthalmic, musculoskeletal, reproductive, and urogenital systems, while integrating both well-established drug classes and novel biologics, RNA-based medicines, and advanced delivery platforms. Emphasis is placed on the interconnectedness of physiological systems and molecular signaling networks, the evolving role of pharmacokinetics and pharmacodynamics, and the incorporation of systems biology into therapeutic decision-making. The book delves into the transformative impact of pharmacogenomics, omics technologies, and biomarker-guided therapy, while also highlighting the growing influence of artificial intelligence, digital health innovations, and clinical decision-support systems in optimizing treatment outcomes. It further addresses contemporary pharmacological challenges including polypharmacy, drug-drug interactions, regulatory considerations, and the specific needs of pediatric and geriatric populations. Looking ahead, the text explores future directions in pharmacology such as gene editing, cell-based therapies, exosome-based delivery, and 3D-printed pharmaceuticals. Designed for clinicians, researchers, educators, and advanced students, this volume serves as a definitive academic reference, offering both depth and practicality for those engaged in the advancement of personalized, precision-based medical care.

Advancements in Hepatoprotective Herbal Medicines Current Trends, Significance and Future Perspectives

Wed, 19 Mar 2025 00:00:00 +0000

The liver, a central organ in human physiology, is responsible for crucial functions such as detoxification, metabolic regulation, immune surveillance, and homeostasis. Owing to its constant exposure to xenobiotics, pathogens, and metabolic by-products, it remains highly susceptible to damage. Herbal medicines have emerged as promising therapeutic agents in liver protection due to their multifaceted pharmacological actions. A wide range of medicinal plants exhibit hepatoprotective effects through antioxidant, anti-inflammatory, immunomodulatory, antifibrotic, and cytoprotective mechanisms. Phytoconstituents such as silymarin, curcumin, glycyrrhizin, lignans, flavonoids, and polyphenols have demonstrated significant potential in restoring hepatic function and preventing disease progression. These natural agents modulate key molecular pathways, including NF-κB, Nrf2, MAPKs, and PI3K/Akt, thereby reducing oxidative stress, inhibiting inflammatory cytokines, enhancing detoxification enzymes, and protecting mitochondrial integrity. Their applications span a spectrum of liver disorders, including non-alcoholic fatty liver disease, viral hepatitis, autoimmune hepatitis, alcoholic liver damage, and hepatocellular carcinoma. Safety and toxicological assessments highlight the importance of dose standardization, quality control, and monitoring of herb-drug interactions. The integration of traditional systems of medicine, such as Ayurveda, Siddha, and Unani, with contemporary pharmacological research underscores the relevance of holistic approaches to liver care. Advances in drug delivery systems, including nanoformulations and phytosomes, have further enhanced the bioavailability and therapeutic efficacy of herbal agents. A scientific and evidence-based approach to herbal hepatoprotection offers a sustainable pathway toward the development of safe, effective, and integrative liver therapeutics.