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Implications of the Blood-Brain Barrier and Its Manipulation
Understanding the structure and function of the blood-brain barrier (BBB) and recogniz ing its clinical relevance require a concert of scientific disciplines applied from a view point of integrative physiology rather than from only molecular or analytical approaches. It is this broad scope that is emphasized in this book. In my opinion, four original contributions define the field as it exists today. The first, a monograph by Broman,1 entitled The Permeability of the Cerebrospinal Vessels in Normal and Pathological Conditions, was the model for many subsequent clinical and 3 experimental studies on BBB pathology. Second, experiments by Davson, summarized in his book entitled Physiology of th...
Blood-Brain Barrier
The vasculature of the central nervous system (eNS) is characterized by the existence of the blood-brain barrier (BBB), which can be regarded as both an anatomical and physiological phenomenon. The BBB is formed by a complex cellular system of endothelial cells, astroglia, pericytes, perivascular macrophages and a basal membrane, although the anatomic substrate of the BBB is the interendothelial tight junctions that form a continuous sealing. The BBB serves as an exquisitely controlled, functional gate to the eNS. It not only protects the brain from agents in the blood that could impair neurological function, but also controls the influx and efflux of numerous substances to maintain proper h...
Computational Approaches in Drug Discovery, Development and Systems Pharmacology
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.
