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相关概念视频

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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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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Mitochondrial Precursor Proteins01:39

Mitochondrial Precursor Proteins

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Mitochondrial precursors are partially unfolded or loosely folded polypeptide chains. Newly synthesized precursors are inhibited from spontaneously folding into their native conformation by the cytosolic chaperones, heat shock proteins 70 (Hsp70), and mitochondrial import stimulation factors (MSFs). Precursors bound to MSFs are guided to the TOM70-TOM37 receptors, while precursors bound to Hsp70  chaperones are targetted to TOM20-TOM22 receptor complexes.
Most of the mitochondrial...
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

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Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Protein Families

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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
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Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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预测蛋白质进化与继承者序列预测器.

Rayyan Tariq Khan1,2, Pavel Kohout1,2, Milos Musil1,2,3

  • 1Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic.

Journal of cheminformatics
|March 22, 2025
PubMed
概括

继任者序列预测器 (SSP) 为蛋白质设计提供了一种新的in silico方法,预测未来的氨基酸替代以增强蛋白质特性. 这种计算工具有助于蛋白质工程,减少了对资源密集型实验进化的需求.

关键词:
活动活动活动.适应 适应 适应进化 进化 进化 进化 进化 进化 进化进化轨迹的发展轨迹蛋白质的设计 蛋白质的设计可溶性 溶解度 可溶性 溶解度热稳定性 热稳定性

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科学领域:

  • 计算生物学是一种计算生物学.
  • 蛋白质工程是一种蛋白质工程.
  • 进化生物学是进化的生物学.

背景情况:

  • 由于理论模型的局限性和资源密集型实验技术 (如定向进化) 的限制,预测蛋白质进化具有挑战性.
  • 现有的方法往往是描述性的,而不是预测性的,需要研究人员对蛋白质修饰进行重大干预.

研究的目的:

  • 引入继承者序列预测器 (SSP),这是一个用于蛋白质设计的in silico方法.
  • 提供一个预测工具,重建蛋白质的进化历史,并建议有益的氨基酸替代.
  • 通过提高热稳定性,活性和可溶性等特性来增强蛋白质工程.

主要方法:

  • 开发了一种in silico蛋白质设计方法,即继承者序列预测器 (SSP).
  • SSP重建了一个蛋白质的进化历史.
  • 使用物理化学描述符识别进化历史的趋势,以预测未来的氨基酸替代.

主要成果:

  • SSP预测氨基酸替代,增强蛋白质的特性,如热稳定性,活性和可溶性.
  • 该方法在氨基酸水平上推进了蛋白质进化预测.
  • 成功地将祖先序列重建与进化趋势的in silico建模集成在一起.

结论:

  • SSP是一种可泛化和预测的蛋白质工程工具.
  • 这种方法减少了对资源密集型定向进化技术的依赖.
  • 能够开发出实际有用的增强专用蛋白质.