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相关概念视频

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Protein Organization01:13

Protein Organization

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Overview
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Protein and Protein Structure02:15

Protein and Protein Structure

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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相关实验视频

Updated: Mar 8, 2026

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

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使用元基因组序列数据确定蛋白质结构

Sergey Ovchinnikov1,2,3, Hahnbeom Park1,2, Neha Varghese4

  • 1Department of Biochemistry, University of Washington, Seattle, WA 98105, USA.

Science (New York, N.Y.)
|January 21, 2017
PubMed
概括
此摘要是机器生成的。

研究人员使用进化数据和元基因组序列准确建模未知的蛋白质结构. 这种具有成本效益的方法扩大了蛋白质数据库,并帮助实现蛋白质结构倡议的目标.

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Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
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Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

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相关实验视频

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Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
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Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

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科学领域:

  • 结构生物学
  • 生物信息学
  • 计算生物学

背景情况:

  • 数以千计的蛋白系缺乏已知的结构, 阻碍了生物研究.
  • 对于许多蛋白质, 目前的比较建模方法是不够的.

研究的目的:

  • 开发和验证用于预测蛋白质结构的计算方法.
  • 扩大可用结构模型的蛋白质家族数量.

主要方法:

  • 使用罗塞塔结构预测以进化残留接触为指导.
  • 整合元基因组序列数据以增加可建模的蛋白质家族.
  • 使用基于接触的结构匹配和罗塞塔计算来生成模型.

主要成果:

  • 通过使用进化信息, 准确地模拟大家族中的蛋白质.
  • 基因组数据使得适合精确建模的蛋白家族数量增加了三倍.
  • 为614个以前未被描述的蛋白家族生成模型,包括膜蛋白和新.

结论:

  • 这种结合方法显著提高了蛋白质结构预测能力.
  • 这种方法为大型蛋白质家族提供了具有成本效益的代表性模型.
  • 这项研究为代表性不足的蛋白质家族提供了有价值的结构数据.