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The release of the complete version of the human genome sequence in 2003 has paved the way for defining gene function and genetic background for phenotypic variation in humans and allowed us to study the aging process in a new light. This new volume results from that research and focuses on the genetic and epigenetic process of aging. While the interpretation of the genome data is still in its initial stages, this new volume looks at the evolving understanding of molecular mechanisms involved in cellular processes, gene function associated with complex traits, epigenetic components involve in gene control and the creation of hypothesis-free genome-wide approaches. Longevity Genes: A Blueprin...
The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment. This book provides an understanding of the basic principles of computational toxicology and the current methods of p...
CARBON MONOXIDE IN DRUG DISCOVERY An insightful reference for the latest physiological and therapeutic studies of carbon monoxide In Carbon Monoxide in Drug Discovery: Basics, Pharmacology, and Therapeutic Potential, a team of distinguished authors delivers foundational knowledge, the latest research, and remaining challenges regarding the physiological roles and therapeutic efficacy of carbon monoxide (CO). The editors have included a broad selection of resources from leading experts in the field that discuss the background and physiological roles of CO, a variety of delivery forms including CO prodrugs using benign carriers, CO sensing, therapeutic applications, and clinical trials. Organi...
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Long used in sacred ceremonies and associated with good health, the nutritional and health promoting benefits of olives and olive oils have been proven by an ever-increasing body of science. From cardiovascular benefits to anti-microbial, anti-cancer, antioxidant activity and effects on macrophages and aptoptosis to cellular and pathophysiollogical process, olives and olive oils are proving important in many healthful ways. For example, reactive components in olive oils or olive oil by-products have now been isolated and identified. These include tyrosol, hydroxytyrosol, 3,4-dihydroxyphenyl acetic acid elenolic acid and oleuropein. Oleic acid is the main monosaturated fatty acid of olive oil...
Thirty years ago, the group of Baulieu and colleagues discovered that certain steroid hormones were present in higher amounts in the brain than in the plasma, and also found that suppression of circulating steroids by adrenalectomy and castration did not affect the concentration of pregnenolone, dehydroepiandrosterone and their sulfate esters in the rat brain. These seminal observations led to the concept that the brain, in very much the same way as the adrenal cortex, testis, ovary and placenta, was capable of synthesizing steroids. These brain born steroids, called neurosteroids, have been found to exert a vast array of biological activities. A number of steroidogenic enzymes have now been identified in the central nervous system by immunohistochemistry and in situ hybridization, and the neuronal and hormonal mechanisms regulating the biosynthesis of neurosteroids have been partially elucidated. The aim of this Research Topic is to celebrate three decades of research on neurosteroids by gathering a bouquet of review papers and original articles from leading scientists in the flourishing field of neurosteroids.
This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of ap...
The Genetical Theory of Natural Selection by R.A. Fisher (1930) dictated that sexual dimorphisms may depend upon a single medelian factor. This could be true for some species but his suggestion could not take off the ground as gender in Drosophila is determined by the number of X chromosomes. Technical advances in molecular biology have revived the initial thinking of Fisher and dictate that TDF or SRY genes in humans or Tdy in mice are sex determining genes. The fortuitous findings of XX males and XY female, which are generally termed sex reversal phenomenon, are quite bewildering traits that have caused much amazement concerning the pairing mechanism(s) of the pseudoautosomal regions of hu...