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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.
A protein's shape is critical to its function. For example, an enzyme...
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Protein Families02:47

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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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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Protein Folding01:22

Protein Folding

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Overview
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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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相关实验视频

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A Protocol for Computer-Based Protein Structure and Function Prediction
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机器学习技术从序列中推断蛋白质结构和功能:全面的审查

Gopal Srivastava1, Mengmeng Liu2, Xialong Ni1

  • 1Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.

Methods in molecular biology (Clifton, N.J.)
|November 22, 2024
PubMed
概括
此摘要是机器生成的。

机器学习从序列数据准确地预测蛋白质结构和功能. 本综述涵盖了关键的方法,挑战和进展,突出了机器学习.

关键词:
卷积神经网络是一种卷积神经网络.机器学习技术 机器学习技术自然语言处理自然语言处理.蛋白质的功能蛋白质的功能蛋白质序列数据的数据.蛋白质结构 蛋白质结构

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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
  • 生物信息学是一种生物信息学.

背景情况:

  • 了解蛋白质结构和功能对于生物学见解和药物开发至关重要.
  • 越来越多的蛋白质序列数据需要先进的计算方法.
  • 机器学习 (ML) 提供了强大的工具,可以直接从序列中预测蛋白质特征.

研究的目的:

  • 在蛋白质结构和功能推断中提供ML应用的全面审查.
  • 讨论各种ML方法,包括深度学习架构.
  • 突出当前的挑战和该领域最近的进展.

主要方法:

  • 机器学习技术的审查,重点是卷积神经网络 (CNN) 和自然语言处理 (NLP).
  • ML的应用用于预测蛋白质的二级和三级结构,残留-残留接触,蛋白质功能和亚细胞定位.
  • 探索用于蛋白质分析的深度学习架构的进步.

主要成果:

  • 机器学习技术,特别是深度学习,在预测各种蛋白质属性方面显示出显著的前景.
  • 在推断复杂蛋白质结构和功能信息方面,CNN和NLP的成功应用.
  • 确定关键挑战,包括数据质量和模型可解释性.

结论:

  • 机器学习对于推进对蛋白质结构和功能的理解至关重要.
  • 机器学习有可能彻底改变药物发现和个性化医学.
  • 深度学习模型的持续开发将进一步提高预测能力.