Bioinformatics tools for pharmaceutical drug product development
Presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. And include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall.
Related Books
Community pharmacy : symptoms, diagnosis and treatment
Support pharmacists in identifying, diagnosing, treating or referring the illnesses and conditions they will commonly encounter in the community. A logical structure covers the full range of common presentations, including respiratory, ear, eye, gastroenterological and skin conditions. Clear pictures, referral criteria and summaries of treatment options support clinical reasoning, differential diagnosis and selection of appropriate products. Suitable for both pharmacy students and qualified pharmacists, the sixth edition has been fully updated to align with changes to the pharmacy curriculum and the rapidly expanding scope of pharmacists working in primary care and community pharmacy.
Anticancer activity in heterocyclic organic structures : A pathway to novel drug development : Part 1
New Directions in Organic & Biological Chemistry, explores the development of cancer therapeutics, focusing on molecular chemistry and advanced drug design approaches. Written by experts in theoretical chemistry and molecular chemistry, they bridge the gap between theoretical chemistry, molecular biology, and drug development. In Part I, they focus on the fundamental properties of heterocyclic compounds and innovative methodologies being employed to enhance therapeutic potential. By exploring various classes of heterocyclic compounds and diverse anticancer mechanisms.
Lifestyle nutrition eating for good health by lowering the risk of chronic diseases
Provides physicians with an evidence-based introduction to nutrition science with a practical emphasis on how to apply this information to improve the health of their patients and enhance their own lives. From nutrition and atherosclerosis to erectile dysfunction and chronic kidney disease to osteoporosis, this comprehensive guide covers a wide range of conditions influenced by diet. It delves into specialized areas, such as nutrition for physically active people to the elderly, ensuring relevance for diverse patient populations. The reader will find detailed analysis of the Dietary Guidelines for Americans 2020–2025 and their applications and strategies for adopting healthy plant-based diets, such as Mediterranean, DASH, and vegan.
Computational biology in drug discovery and repurposing
Takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designin



