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Ruedi Aebersold discusses systems biology as a foundational discipline Ruedi Aebersold将系统生物学作为一门基础学科进行了讨论
Biosilico
Pub Date : 2003-05-02 DOI: 10.1016/S1478-5382(03)02334-5
J.C. Louis
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引用次数: 0
Commercial norms and population genomics 商业规范和人口基因组学
Biosilico
Pub Date : 2003-05-02 DOI: 10.1016/S1478-5382(03)02332-1
J.C. Louis (freelance writer)
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引用次数: 0
Cutting edge approaches to drug design 药物设计的前沿方法
Biosilico
Pub Date : 2003-05-02 DOI: 10.1016/S1478-5382(03)02335-7
Andreas Bender
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引用次数: 0
Informatics integration: the bedrock of NCE selection 信息学整合:NCE选择的基石
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02231-5
Richard K. Scott

The life-science domain has been discussing the merits of data integration for several years. Approximately five years ago, knowledge management promised to solve many of the bottlenecks of the drug discovery pipeline. It was envisioned that companies would purchase off-the-shelf software solutions or hire consultants or informaticians to solve their informatics problems. However, knowledge management has not delivered all that it promised. Better investment in integration is required to deliver a system that significantly reduces the time-to-market and R&D overheads, and increase the rate at which novel chemical entities (NCEs) progress through the pipeline. Such investments require strategic decisions that, if implemented successfully, deliver substantial benefits and act as the bedrock for NCE selection.

多年来，生命科学领域一直在讨论数据集成的优点。大约五年前，知识管理有望解决药物研发管道中的许多瓶颈。人们设想，公司将购买现成的软件解决方案，或雇用顾问或信息学家来解决他们的信息问题。然而，知识管理并没有实现它所承诺的一切。为了交付一个显著缩短上市时间和研发费用的系统，并提高新型化学实体(nce)通过管道的进展速度，需要在集成方面进行更好的投资。这样的投资需要战略决策，如果成功实施，将带来实质性的利益，并作为NCE选择的基础。
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引用次数: 3
The rise of computational drug discovery? 计算机药物发现的兴起?
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02264-9
Rolf Apweiler
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引用次数: 3
Adaptive evolution: E. coli's learning curve 适应性进化:大肠杆菌的学习曲线
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02287-X
J.C. Louis (freelance writer)
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引用次数: 0
Function prediction in BioPatents 生物专利中的功能预测
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02220-0
Robert Harrison
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引用次数: 1
From model organisms to organismal models: visualizing complex genomic datasets 从模式生物到有机体模型:可视化复杂的基因组数据集
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02258-3
Christoph W. Sensen

Genome research is rapidly expanding from the characterization of linear information (DNA and protein molecules) to information that contains spatial and temporal aspects (for example gene expression patterns and proteomics data). The analysis of these complex data sets poses new challenges for bioinformatics. A major challenge is the integration of highly diverse data types, ranging from gene functions and gene expression patterns over protein modifications to metabolic networks. New technologies need to be developed to integrate these data and build multi-dimensional models of cells, tissues, organs and entire organisms that reflect the results of functional genomics studies. The visualization of these models will be crucial for the success of genome research.

基因组研究正迅速从线性信息(DNA和蛋白质分子)的特征扩展到包含空间和时间方面的信息(例如基因表达模式和蛋白质组学数据)。对这些复杂数据集的分析为生物信息学提出了新的挑战。一个主要的挑战是高度多样化的数据类型的整合，从基因功能和基因表达模式到蛋白质修饰，再到代谢网络。需要开发新技术来整合这些数据，并建立反映功能基因组学研究结果的细胞、组织、器官和整个生物体的多维模型。这些模型的可视化将对基因组研究的成功至关重要。
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引用次数: 1
Challenges of structural genomics: bioinformatics 结构基因组学的挑战:生物信息学
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02259-5
Adam Godzik , Jaume Canaves , Slawomir Grzechnik , Lukasz Jaroszewski , Andrew Morse , Jie Ouyang , Xianhong Wang , Bill West , John Wooley

Structural genomics projects bring us many challenges, many of which were not anticipated when such initiatives were first planned and introduced. For instance, the huge amount of data generated within the project must be collected, displayed and analyzed to reap the benefits of this huge investment. Projects at the San Diego based Joint Center for Structural Genomics provide an example of how data can be managed within a structural genomics project, and how results can be presented on the web, as well as highlight some of the issues concerning data analysis.

结构基因组学项目给我们带来了许多挑战，其中许多是在最初计划和引入这些计划时没有预料到的。例如，必须收集、显示和分析项目中产生的大量数据，才能从这项巨大的投资中获益。位于圣地亚哥的结构基因组学联合中心的项目提供了一个例子，说明如何在结构基因组学项目中管理数据，以及如何将结果呈现在网络上，同时突出了一些与数据分析有关的问题。
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引用次数: 3
George Church discusses the quest for quality bioengineering George Church讨论了对高质量生物工程的追求
Biosilico
Pub Date : 2003-03-01 DOI: 10.1016/S1478-5382(03)02266-2
J.C. Louis
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引用次数: 0
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