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Titlebook: Viral Molecular Machines; Michael G. Rossmann,Venigalla B. Rao Book 2012 The Editor(s) (if applicable) and The Author(s), under exclusive

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發(fā)表于 2025-3-21 18:36:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Viral Molecular Machines
編輯Michael G. Rossmann,Venigalla B. Rao
視頻videohttp://file.papertrans.cn/984/983220/983220.mp4
概述Written by leaders in their respective fields.Uses the best examples from bacteriophages and animal viruses, many causing infectious diseases of public health importance.Conveys state of the art knowl
叢書(shū)名稱Advances in Experimental Medicine and Biology
圖書(shū)封面Titlebook: Viral Molecular Machines;  Michael G. Rossmann,Venigalla B. Rao Book 2012 The Editor(s) (if applicable) and The Author(s), under exclusive
描述.This book will contain a series of solicited chapters that concern with the molecular machines required by viruses to perform various essential functions of virus life cycle. The first three chapters (Introduction, Molecular Machines and Virus Architecture) introduce the reader to the best known molecular machines and to the structure of viruses. The remainder of the book will examine in detail various stages of the viral life cycle. Beginning with the viral entry into a host cell, the book takes the reader through replication of the genome, synthesis and assembly of viral structural components, genome packaging and maturation into an infectious virion...Each chapter will describe the components of the respective machine in molecular or atomic detail, genetic and biochemical analyses, and mechanism. Topics are carefully selected so that the reader is exposed to systems where there is a substantial infusion of new knowledge in recent years, which greatly elevated the fundamental mechanistic understanding of the respective molecular machine. The authors will be encouraged to simplify the detailed knowledge to basic concepts, include provocative new ideas, as well as design colorful
出版日期Book 2012
關(guān)鍵詞infectious diseases
版次1
doihttps://doi.org/10.1007/978-1-4614-0980-9
isbn_softcover978-1-4939-5085-0
isbn_ebook978-1-4614-0980-9Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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pecifically, in the natural language processing domain, it has been shown that social biases persist in word embeddings and are thus in danger of amplifying these biases when used. As an example of social bias, religious biases are shown to persist in word embeddings and the need for its removal is
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Michael G. Rossmann,Venigalla B. Raocomplex problem, as many HIV infected individuals remain unaware of their infection status, leading to parts of HIV epidemics being undiagnosed and under-reported. We first present a method to learn epidemiological parameters from phylogenetic trees, using approximate Bayesian computation (ABC). The
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Petr G. Leiman,Mikhail M. Shneiderge critically depends on natural language comprehension and production. Natural language concepts guide the interpretation of what we see, hear, read, or experience with other senses..In the first part of the paper, we illustrate the needed capabilities of cooperative dialog systems with a detailed
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