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Titlebook: Discovering Biomolecular Mechanisms withComputational Biology; Frank Eisenhaber Book 2006 Springer-Verlag US 2006 Amino acid.DNA.Nucleotid

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發(fā)表于 2025-3-21 19:46:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Discovering Biomolecular Mechanisms withComputational Biology
編輯Frank Eisenhaber
視頻videohttp://file.papertrans.cn/282/281013/281013.mp4
概述Contributors examine how sequence analysis becomes even more powerful if it is combined with automated scientific text mining (for the prediction of gene function and gene-disease association), with t
叢書(shū)名稱Molecular Biology Intelligence Unit
圖書(shū)封面Titlebook: Discovering Biomolecular Mechanisms withComputational Biology;  Frank Eisenhaber Book 2006 Springer-Verlag US 2006 Amino acid.DNA.Nucleotid
描述.In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation...Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success. .
出版日期Book 2006
關(guān)鍵詞Amino acid; DNA; Nucleotide; Translation; enzymes; methodology; transcription
版次1
doihttps://doi.org/10.1007/0-387-36747-0
isbn_softcover978-1-4419-4177-0
isbn_ebook978-0-387-36747-7Series ISSN 1431-0414
issn_series 1431-0414
copyrightSpringer-Verlag US 2006
The information of publication is updating

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978-1-4419-4177-0Springer-Verlag US 2006
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https://doi.org/10.1007/978-3-8349-4359-0us progress in life sciences compared with the sophistication of experimental approaches themselves. The genesis of recent spectacular breakthroughs in molecular biology that led to the discovery of the enzymatic function of several nonmetabolic enzymes illustrates that this relationship is beginnin
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https://doi.org/10.1007/978-3-8349-4359-0ased function prediction provides information about a proteins’ molecular function (what does the protein do at a molecular scale?), the analysis of the sequence in the context of its genome or in other types of genomics data provides information about its functional context (what are the proteins’
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https://doi.org/10.1007/978-3-8349-9276-5by cytochrome P450. It is an attractive drug target, e.g., cytochrome P450s of . are promising targets in the fight against tuberculosis. The structure provides new insights for investigation of structure/mechanism of cytochrome P450, and for rational design of inhibitor molecules. We will illustrat
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Strategy and Politics in the Blair Eratarts with locating the mutations in a chromosomal band, as narrow as possible, and follows with the manual analysis of all the genes mapping in this region. Usually this is not an easy task, but it can be facilitated by complementary computational approaches that evaluate all genes in a region of i
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Strategy and Politics in the Blair Eravariety of cellular conditions. In addition, microarray-based genomewide measurements of promoter occupancy (the occupome) are now available for an increasing number of transcription factors. With this data and the complete genome sequence of many important organisms, it is becoming possible to quan
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Rationalit?tsgrenzen politischer Strategie, is an ever-increasing field of research. The results of most modelling studies in this field are in good qualitative or even quantitative agreement with experimental results. However, a widely held view among many experimentalists is that modelling and simulation only reproduce what has been known
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