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相关概念视频

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Evolutionary Relationships through Genome Comparisons02:54

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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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Maxam-Gilbert Sequencing01:05

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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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Multi-pass Transmembrane Proteins and β-barrels01:09

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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
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Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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相关实验视频

Updated: May 17, 2025

A Practical Guide to Phylogenetics for Nonexperts
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使用贝叶斯流网络进行蛋白序列建模.

Timothy Atkinson1, Thomas D Barrett2, Scott Cameron1

  • 1InstaDeep, 5 Merchant Square, London, W2 1AY, England.

Nature communications
|April 3, 2025
PubMed
概括
此摘要是机器生成的。

贝叶斯流网络 (BFNs) 能够实现先进的蛋白质序列生成. 我们的ProtBFN模型创造了多样化的,与自然类似的蛋白质序列,在无条件和条件任务中表现优于现有的方法.

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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:

  • 生成型机器学习已经推进了蛋白质序列建模.
  • 现有的模型在无条件和有条件生成方面都在扎.
  • 贝叶斯流网络 (BFNs) 为生成模型提供了一个新的框架.

研究的目的:

  • 为蛋白质序列生成引入贝叶斯流网络 (BFNs).
  • 开发和评估ProtBFN,一个用于蛋白质序列的大规模BFN模型.
  • 评估BFNs在条件生成中的抗体设计能力.

主要方法:

  • 开发了基于贝叶斯流网络的650M参数模型ProtBFN.
  • 在UniProtKB的蛋白质序列上训练了ProtBFN.
  • 在抗体重链上微调的ProtBFN,用于条件生成任务创建AbBFN.

主要成果:

  • ProtBFN产生与自然相似的,多样化的,结构连贯的和新的蛋白质序列.
  • ProtBFN显著优于领先的自回归和离散扩散模型.
  • 与BERT型模型相比,抗体特定模型AbBFN显示出具有竞争力或优异的零射击条件生成.

结论:

  • 贝叶斯流网络对于蛋白质序列生成非常有效.
  • 在生成性蛋白质建模方面,ProtBFN代表了一项重大进展.
  • 在抗体工程和治疗性蛋白质设计等专业应用中,BFN是有前途的.