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相关概念视频

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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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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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

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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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Mutations01:39

Mutations

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相关实验视频

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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在蛋白质中识别致病突变的计算方法.

Medha Pandey1, Suraj Kumar Shah1, M Michael Gromiha2

  • 1Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India.

Advances in protein chemistry and structural biology
|March 6, 2024
PubMed
概括

识别引起疾病的蛋白质突变对于开发向疗法至关重要. 这项工作审查了数据库和计算方法,以精确确定这些关键的遗传变化.

关键词:
癌症热点是癌症的热点.数据库 数据库就是数据库.深度学习是一种深度学习.引起疾病的突变.司机 司机 司机 司机机器学习就是机器学习.

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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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科学领域:

  • 基因组学和生物信息学
  • 分子生物学分子生物学
  • 计算生物学 计算生物学

背景情况:

  • 基因组测序的进步使得各种疾病中蛋白质突变的更广泛的研究成为可能.
  • 氨基酸突变可以改变蛋白质的结构,稳定性和功能,可能导致疾病.
  • 识别致病突变是一个复杂的挑战,但对于治疗策略的开发至关重要.

研究的目的:

  • 审查包含有关致病和中性突变的信息的数据库.
  • 讨论与突变相关的蛋白质的序列和基于结构的特性.
  • 探索用于识别有害突变和癌症热点的计算方法.

主要方法:

  • 数据库的策划和对突变数据的利用.
  • 基于序列的蛋白质特性分析.
  • 基于结构的蛋白质特性的应用.
  • 计算识别方法的开发和讨论.

主要成果:

  • 数据库为研究突变影响提供了宝贵的资源.
  • 序列和基于结构的特征是突变效应的关键指标.
  • 计算方法可以有效地识别引起疾病的突变和癌症热点.

结论:

  • 利用精心策划的突变数据库和计算方法有助于识别关键蛋白质变化.
  • 了解突变特征对于推进疾病研究和治疗设计至关重要.