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Analyzing and Interrogating Biological Networks

机译：分析和审讯生物网络

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摘要

High-throughput experimental and computational approaches to characterize proteins and their interactions have resulted in large-scale biological networks for many organisms, from bacteria, to yeast to human. These complex networks are comprised of a number of distinct types of interactions: these include interactions between proteins that interact physically, that participate in a synthetic lethal or epistatic relationship, that are coexpressed, or where one phosphory-lates or regulates another. Though incomplete and noisy, these networks provide a holistic view of the functioning of the cell and, with appropriate computational analysis and experimental work, have significant potential for helping to uncover cellular principles as well as protein functions and pathways.
机译：表征蛋白质及其相互作用的高通量实验和计算方法已为许多生物（从细菌到酵母再到人）建立了大规模的生物网络。这些复杂的网络由许多不同类型的相互作用组成：这些相互作用包括蛋白质之间的物理相互作用，参与合成的致命或上位性关系，共表达或一个磷酸化或调节另一个的蛋白质之间的相互作用。尽管这些网络不完整且嘈杂，但它们提供了有关细胞功能的整体视图，并通过适当的计算分析和实验工作，在帮助揭示细胞原理以及蛋白质功能和途径方面具有巨大的潜力。

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  • 来源
  • 会议地点 New Orleans LA(US);New Orleans LA(US)
  • 作者

    Eric Banks; Elena Nabieva; Bernard Chazelle; Ryan Peterson; Mona Singh;

  • 作者单位

    Department of Computer Science and Lewis-Sigler Institute for Integrative Genomics,Princeton University, Princeton, NJ 08544;

    rnDepartment of Computer Science and Lewis-Sigler Institute for Integrative Genomics,Princeton University, Princeton, NJ 08544;

    rnDepartment of Computer Science and Lewis-Sigler Institute for Integrative Genomics,Princeton University, Princeton, NJ 08544;

    rnDepartment of Computer Science and Lewis-Sigler Institute for Integrative Genomics,Princeton University, Princeton, NJ 08544;

    rnDepartment of Computer Science and Lewis-Sigler Institute for Integrative Genomics,Princeton University, Princeton, NJ 08544;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学（生物技术）;
  • 关键词

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