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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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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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Protein Folding01:25

Protein Folding

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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
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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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Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

6.7K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
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Conservation of Protein Domains02:26

Conservation of Protein Domains

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相关实验视频

Updated: May 16, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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蛋白质的静电特性是通过进化微调的.

Mingzhe Shen1, Guy W Dayhoff1,2, Jana Shen1

  • 1Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD 21201, U.S.A.

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|May 9, 2025
PubMed
概括
此摘要是机器生成的。

预测蛋白质电离状态现在只用初级序列数据是可能的. 一个新的模型,KaML-ESM,利用进化信息进行高度准确的pKa预测,推进蛋白质静电学研究.

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科学领域:

  • 生物化学 生物化学
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • 蛋白质的电离状态对于结构,稳定性,可溶性和功能至关重要.
  • 目前的预测方法严重依赖蛋白质结构信息.
  • 了解蛋白质静电学对于各种生物过程至关重要.

研究的目的:

  • 开发一种新的方法,只使用初级序列数据来预测蛋白质电离状态.
  • 评估基于序列的pKa预测的准确性.
  • 为绘制蛋白质静电景观提供一个工具.

主要方法:

  • 开发KaML-ESM,一种在合成pKa数据集上预训练的机器学习模型.
  • 从大规模蛋白质语言模型 (ESM) 中利用进化表征.
  • 通过外部评估和全蛋白质组分析进行验证.

主要成果:

  • 在pKa预测中,KaML-ESM实现了高准确度,主要残留物 (Asp,Glu,His,Lys) 的RMSEs接近实验极限.
  • 对氨酸残留物的预测错误显著减少.
  • 证明了蛋白质初级序列编码静电性质.

结论:

  • 仅仅初级蛋白质序列就能准确预测电离状态和pKa值.
  • 蛋白质静电可以通过进化与结构和功能进行共同优化.
  • KaML平台为药物设计,蛋白质工程和分子模拟的各种应用提供了便利.