Muhammad Ishfaq – författare

Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology is a comprehensive resource that offers an advanced overview of computational techniques employed in drug discovery, design, and toxicity prediction. The book discusses various topics, including molecular modeling, virtual screening, machine learning, and network pharmacology. It serves as an essential guide for researchers, practitioners, and students in pharmacology, toxicology, medicinal chemistry, bioinformatics, and systems biology fields, showcasing practical applications and future perspectives on new technologies. In addition to covering computational approaches, the book provides real-world examples of drug discovery, candidate optimization, and safety assessment.Other sections explore computer applications in pharmacology and toxicology and discusses the importance of these methods in advancing medicinal research.Offers comprehensive coverage of computational methods that are relevant to pharmacology and toxicology, including molecular modeling, virtual screening, machine learning, and network pharmacologyIncludes practical examples and case studies that demonstrate how these methods can be applied in drug discovery, design, and toxicity predictionDiscusses emerging trends and future directions in the field of computational pharmacology and toxicology that can help readers stay up-to-date with the latest advances and anticipate future developments

Computational Methods in Medicinal Chemistry, Pharmacology, and Toxicology is a comprehensive resource that offers an advanced overview of computational techniques employed in drug discovery, design, and toxicity prediction. The book discusses various topics, including molecular modeling, virtual screening, machine learning, and network pharmacology. It serves as an essential guide for researchers, practitioners, and students in pharmacology, toxicology, medicinal chemistry, bioinformatics, and systems biology fields, showcasing practical applications and future perspectives on new technologies. In addition to covering computational approaches, the book provides real-world examples of drug discovery, candidate optimization, and safety assessment.Other sections explore computer applications in pharmacology and toxicology and discusses the importance of these methods in advancing medicinal research.- Offers comprehensive coverage of computational methods that are relevant to pharmacology and toxicology, including molecular modeling, virtual screening, machine learning, and network pharmacology- Includes practical examples and case studies that demonstrate how these methods can be applied in drug discovery, design, and toxicity prediction- Discusses emerging trends and future directions in the field of computational pharmacology and toxicology that can help readers stay up-to-date with the latest advances and anticipate future developments

This book covers the use and dynamics of potassium fertilizers in agriculture. It explores potassium dynamics in soil, phytoavailability, uptake and translocation in crop plants, impact of potassium fertilizers on quality of agricultural produce.Potassium is an essential plant nutrient that has long been overlooked in agriculture of many developing countries. In most of the agro-ecosystems of such countries, potassium balance is negative because its application seldom matches with crop removal. Agro-technicians lack enough skills and resources to promote the right source of fertilizer at the right rate, time and place to facilitate profitable farming. There is a need for farmers to update their farming practices so as to improve the crop yield and quality under unfavorable climatic conditions. Correct application of potassium fertilizers is directly linked with increased crop yield per unit land area in most of the developing countries. Therefore this book fills the gapin the information and provide the readers with latest updates on use of potassium fertilizers. This book contains latest information relevant for graduate students, progressive farmers, extension worker, early career researchers, and policy makers.