Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases

Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics.- Explains computer use in pharmacology using real-life case studies- Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research- Describes the role of AI in pharmacology and applications of CADD in various diseases

Stimuli Responsive-Nano-drug Targeting for Cancer Treatment and Theranostics is a groundbreaking book that offers cutting-edge insights into the role of nanotechnology in cancer therapy. This book serves as a bridge between theoretical concepts and rigorous investigations, focusing on material carriers for chemotherapeutic drugs. It emphasizes structural features and targeted approaches that enhance therapeutic efficacy. The book comprises 18 chapters that delve into nanocarriers in cancer research, cancer therapies, and the application of Artificial Intelligence in stimuli responsive-Nano-drug targeting. Each chapter includes illustrative examples, making it a valuable resource for health professionals, scientists, researchers, practitioners, and students.

Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases

Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics.- Explains computer use in pharmacology using real-life case studies- Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research- Describes the role of AI in pharmacology and applications of CADD in various diseases

Stimuli Responsive-Nano-drug Targeting for Cancer Treatment and Theranostics is a groundbreaking book that offers cutting-edge insights into the role of nanotechnology in cancer therapy. This book serves as a bridge between theoretical concepts and rigorous investigations, focusing on material carriers for chemotherapeutic drugs. It emphasizes structural features and targeted approaches that enhance therapeutic efficacy. The book comprises 18 chapters that delve into nanocarriers in cancer research, cancer therapies, and the application of Artificial Intelligence in stimuli responsive-Nano-drug targeting. Each chapter includes illustrative examples, making it a valuable resource for health professionals, scientists, researchers, practitioners, and students.