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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an up-to-date overview of data driven and evidence-based empirical approaches in the efficient application of chemodescriptors and biodescriptors. Currently there is a steady increase in the use of data analytics and model-based decision support systems in basic and applied research in chemoinformatics, bioinformatics, pharmaceutical drug design, predictive toxicology, and computational biology. Since there are a plethora of modeling methods and a large number of chemodescriptors and biodescriptors available today, robust statistical and machine learning methods are applied throughout. In addition, the development of statistically robust predictive models in rank deficient cases using chemodescrip tors and biodescriptors is discussed. Readers are provided with an up-to-date overview of the theoretical background, calculation methods, and proper use of chemodescriptors and biodescriptors in model building, with special emphasis on computer-assisted organic synthesis, new drug discovery, hazard assessment of chemicals, and computational biology of emerging global pathogens. The book also discusses the applications of alignment-free sequence descriptors (AFSDs) in vaccine design and the characterization of emerging global pathogens such as the Zika virus and SARS-CoV-2. The utility of molecular fragment-based descriptors in building useful quantitative structure-activity relationship (Q)SAR) models is detailed as is the use of mathematical structural descriptors in chemical synthesis planning.

Buch. Zustand: Neu. Neuware -This book provides an up-to-date overview of data driven and evidence-based empirical approaches in the efficient application of chemodescriptors and biodescriptors. Currently there is a steady increase in the use of data analytics and model-based decision support systems in basic and applied research in chemoinformatics, bioinformatics, pharmaceutical drug design, predictive toxicology, and computational biology. Since there are a plethora of modeling methods and a large number of chemodescriptors and biodescriptors available today, robust statistical and machine learning methods are applied throughout. In addition, the development of statistically robust predictive models in rank deficient cases using chemodescrip tors and biodescriptors is discussed. Readers are provided with an up-to-date overview of the theoretical background, calculation methods, and proper use of chemodescriptors and biodescriptors in model building, with special emphasis on computer-assisted organic synthesis, new drug discovery, hazard assessment of chemicals, and computational biology of emerging global pathogens. The book also discusses the applications of alignment-free sequence descriptors (AFSDs) in vaccine design and the characterization of emerging global pathogens such as the Zika virus and SARS-CoV-2. The utility of molecular fragment-based descriptors in building useful quantitative structure-activity relationship (Q)SAR) models is detailed as is the use of mathematical structural descriptors in chemical synthesis planning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Soft cover. Zustand: Very Good. 1st edition. VG+. 4to, 74pp, stapled wrappers. Sharp copy of this 1968 issue of Allen De Loach's important underground literary magazine; includes sections on the Hungry Generation writers and on Bengali poets of the Kritibash Group. Unmarked copy with light spotting to edges. Not Signed.

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Paperback. Zustand: new. Paperback. The bubonic plague, smallpox, HIV/AIDS, malaria, and influenza are some of the worst epidemics/pandemics that afflicted human beings from antiquity to modern times, killing millions of people. The mosquito-borne human-infecting viruses, rotavirus, and the seasonal influenza regularly affect lives across continents in the millions. Currently, we are facing various disease-inducing organisms of the Flavivirus family the Yellow fever virus (YFV), West Nile virus (WNV), Japanese encephalitis virus (JEV), Tick-borne encephalitis virus (TBEV), Dengue virus (DENV) and Zika virus (ZIKV). Zika virus was first isolated from a febrile rhesus monkey in the Zika forest of Uganda in 1947. It drew out heightened attention following the large number of microcephaly in newborn babies in Latin America in 2015. On 1 February 2016, WHO declared that the association of Zika infection with clusters of microcephaly and other neurological disorders constituted a Public Health Emergency of International Concern. Although the severity and number of ZIKV afflicted cases have gone down lately, the public health community worldwide is keeping a watchful eye on it. ZIKV is an enveloped virus with a positive-sense RNA genome that translates into a single polypeptide, which then gets cleaved into three structural and seven nonstructural viral proteins. As compared to the earlier centuries, we have an expanding repertoire of diverse and fast acting technologies available at our hand to manage and mitigate emerging diseases. Completion of the Human Genome Project has given rise to sequencing methods which can quickly determine the genetic sequence of an alarming pathogen. Following Moores law, the power of computers, essential for data analysis and visualization, has grown substantially with time. The combination of genomic data of pathogens, computational modeling methods, and data driven methodologies can lead to a generic approach of surveillance, mitigation, vaccine design as well as new drug discovery for emerging pathogens. The four pillars of this may consist of: a) Epidemiological approaches for the characterization of carriers of next possible emerging pathogens; b) Fast computational sequence comparison methods for the characterization of emerging pathogens to understand how novel or severe they could be; c) Once the sequences of the pathogen have been determined, computer-aided vaccine design (CAVD) methods can be used to suggest a set of probable vaccine candidates for quick synthesis and testing in the laboratory; and d) Computer-assisted design of novel therapeutics and their laboratory testing as well as repurposing of already existing FDA-approved drugs. A combination of different classes of methods in vivo, in vitro and in silico will be needed to tackle suddenly emerging viruses like the Zika virus. As in many other fields of biomedical research, high throughput and low cost in silico technologies may provide the first line of defense against such emerging pathogens providing decision support systems for the judicious applications of medium throughput in vitro methods and low throughput as well as costly in vivo techniques. An emerging trend in many scientific disciplines is a strong tendency of being transformed into some form of information science. The editors of this book sincerely hope that the four-pronged computer-assisted approach described in this book will help in managing and mitigating emerging infectious diseases like Zika. Basic Biology Symptoms Transmission Immunology and AntiZika Drug Discovery. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Paperback. Zustand: new. Paperback. The bubonic plague, smallpox, HIV/AIDS, malaria, and influenza are some of the worst epidemics/pandemics that afflicted human beings from antiquity to modern times, killing millions of people. The mosquito-borne human-infecting viruses, rotavirus, and the seasonal influenza regularly affect lives across continents in the millions. Currently, we are facing various disease-inducing organisms of the Flavivirus family the Yellow fever virus (YFV), West Nile virus (WNV), Japanese encephalitis virus (JEV), Tick-borne encephalitis virus (TBEV), Dengue virus (DENV) and Zika virus (ZIKV). Zika virus was first isolated from a febrile rhesus monkey in the Zika forest of Uganda in 1947. It drew out heightened attention following the large number of microcephaly in newborn babies in Latin America in 2015. On 1 February 2016, WHO declared that the association of Zika infection with clusters of microcephaly and other neurological disorders constituted a Public Health Emergency of International Concern. Although the severity and number of ZIKV afflicted cases have gone down lately, the public health community worldwide is keeping a watchful eye on it. ZIKV is an enveloped virus with a positive-sense RNA genome that translates into a single polypeptide, which then gets cleaved into three structural and seven nonstructural viral proteins. As compared to the earlier centuries, we have an expanding repertoire of diverse and fast acting technologies available at our hand to manage and mitigate emerging diseases. Completion of the Human Genome Project has given rise to sequencing methods which can quickly determine the genetic sequence of an alarming pathogen. Following Moores law, the power of computers, essential for data analysis and visualization, has grown substantially with time. The combination of genomic data of pathogens, computational modeling methods, and data driven methodologies can lead to a generic approach of surveillance, mitigation, vaccine design as well as new drug discovery for emerging pathogens. The four pillars of this may consist of: a) Epidemiological approaches for the characterization of carriers of next possible emerging pathogens; b) Fast computational sequence comparison methods for the characterization of emerging pathogens to understand how novel or severe they could be; c) Once the sequences of the pathogen have been determined, computer-aided vaccine design (CAVD) methods can be used to suggest a set of probable vaccine candidates for quick synthesis and testing in the laboratory; and d) Computer-assisted design of novel therapeutics and their laboratory testing as well as repurposing of already existing FDA-approved drugs. A combination of different classes of methods in vivo, in vitro and in silico will be needed to tackle suddenly emerging viruses like the Zika virus. As in many other fields of biomedical research, high throughput and low cost in silico technologies may provide the first line of defense against such emerging pathogens providing decision support systems for the judicious applications of medium throughput in vitro methods and low throughput as well as costly in vivo techniques. An emerging trend in many scientific disciplines is a strong tendency of being transformed into some form of information science. The editors of this book sincerely hope that the four-pronged computer-assisted approach described in this book will help in managing and mitigating emerging infectious diseases like Zika. Basic Biology Symptoms Transmission Immunology and AntiZika Drug Discovery. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Zustand: New. MATTHIAS DEHMER, PhD, is Head of the Institute for Bioinformatics and Trans- lational Research at the University for Health Sciences, Medical Informatics and Technology (Austria). He has written over 130 publications in his research areas, which include bio.

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Zustand: New. pp. 370.

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Paperback. Zustand: Brand New. 354 pages. 9.00x7.50x0.75 inches. In Stock.

Paperback. Zustand: Brand New. 376 pages. 9.00x7.50x0.75 inches. In Stock.

Zustand: New. pp. 370.

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