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相关概念视频

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.
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Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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A Protocol for Computer-Based Protein Structure and Function Prediction
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通过FoldMason在规模上对多个蛋白质结构进行对齐.

Cameron L M Gilchrist1,2, Milot Mirdita1, Martin Steinegger1,3,4,5

  • 1School of Biological Sciences, Seoul National University, Seoul, Republic of Korea.

Science (New York, N.Y.)
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概括
此摘要是机器生成的。

FoldMason是一种用于对准蛋白质结构的新计算工具,可以更快,更准确地分析与远距离相关的蛋白质. 这一进步有助于理解蛋白质的进化和功能,即使有有限的序列数据.

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科学领域:

  • 结构生物信息学 结构生物信息学
  • 计算生物学是一种计算生物学.
  • 蛋白质结构分析分析蛋白质结构分析

背景情况:

  • 蛋白质结构的保存超出了序列的范围,需要多重结构对齐 (MSTA) 来分析远距离相关的蛋白质.
  • 计算蛋白质结构预测的进步产生了庞大的数据集,要求高效和准确的MSTA方法.

研究的目的:

  • 引入FoldMason,一种新的进步MSTA方法,旨在对大型蛋白质结构数据集进行高通量分析.
  • 与现有的最先进的MSTA方法对比,评估FoldMason的速度和准确性.

主要方法:

  • 折叠工厂采用渐进的对齐策略,使用双对结构对齐器Foldseek和TM-align.
  • 该方法在大型数据集上进行了测试,包括Flaviviridae糖蛋白,以评估其性能.
  • 自信评分和交互式可视化已集成到FoldMason工作流中.

主要成果:

  • 福德梅森实现了与当前最先进的MSTA方法相当或超过的对齐质量.
  • 该方法表现出了显著的速度改进,比现有工具快两倍.
  • 福德梅森的多重结构对齐方便了强大的遗传学分析,超越了序列相似性的"暮色区".

结论:

  • FoldMason为大规模蛋白质结构分析提供了必要的速度和准确性,这在准确结构预测时代至关重要.
  • 该工具支持远距离相关蛋白质的遗传学分析,增强进化研究.
  • FoldMason是一个免费的开源软件,促进科学界的可访问性.