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相关概念视频

Protein Folding01:22

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From DNA to Protein03:06

From DNA to Protein

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The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
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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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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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统一序列结构编码,用于先进的蛋白质工程,通过多模式扩散变压器.

Xiaohan Lin1, Zhenyu Chen1, Yanheng Li1

  • 1Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University Beijing 100871 China gaoyq@pku.edu.cn.

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概括
此摘要是机器生成的。

这项研究介绍了ProTokens和PT-DiT,这是蛋白质工程的一个新方法. 通过整合序列和结构数据,它简化了功能性蛋白质的设计.

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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.
  • 机器学习 机器学习

背景情况:

  • 蛋白质工程需要集成的序列结构数据来设计新型蛋白质.
  • 现有的方法通常仅依赖于序列或结构,限制了成功率.

研究的目的:

  • 通过整合序列和结构信息,开发蛋白质工程的统一战略.
  • 为增强蛋白质设计引入ProTokens和PT-DiT.

主要方法:

  • 开发了ProTokens,通过自主监督学习从结构数据库中对氨基酸的机器学习表示.
  • 构建PT-DiT,一种多式扩散变压器模型,将序列和结构集成到统一的表示中.

主要成果:

  • ProTokens提供了一个紧的,信息丰富的代表性桥梁序列和结构.
  • PT-DiT使蛋白质工程能够在联合序列结构空间中实现,从而简化了设计.
  • 该模型有助于编码3D折叠,上下文设计和定向进化.

结论:

  • PT-DiT为*in silico*蛋白质工程提供了一个统一的解决方案.
  • 利用序列和结构洞察力,可以实现功能性蛋白质设计.