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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
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...
12.5K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K
Proteomics01:33

Proteomics

7.3K
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...
7.3K
Protein Families02:47

Protein Families

15.3K
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...
15.3K

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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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iProps:一种用于蛋白质分类和分析的全面软件工具,具有自动机器学习能力和模型解释能力.

Changli Feng, Haiyan Wei, Chugui Xu

    IEEE journal of biomedical and health informatics
    |July 15, 2024
    PubMed
    概括

    一个新的Python软件包,iProps,提供了集成的蛋白质分类工具. 它在特征评估,自动机器学习和模型解释方面表现出色,推进生物信息学研究.

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    相关实验视频

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    科学领域:

    • 生物信息学是一种生物信息学.
    • 计算生物学 计算生物学
    • 机器学习 机器学习

    背景情况:

    • 蛋白质分类在生物信息学中至关重要.
    • 现有的工具缺乏综合功能评估,自动机器学习和模型解释.
    • 需要一个全面的解决方案来推进蛋白质分类研究.

    研究的目的:

    • 介绍iProps,一个基于Python的软件包.
    • 为蛋白质分类中特征提取,评估,自动机器学习和模型解释提供一个工具.
    • 解决用于蛋白质分析的综合生物信息学软件的缺口.

    主要方法:

    • iProps利用进化和氨基酸减少信息来获得新的,序列长度独立的蛋白质特征 (例如,SC-PSSM,ORDip).
    • 它计算了17个额外的数值特征,并支持混合特征的特征组合.
    • 该软件包包括数据平衡,内置分类器和三个自动机器学习算法,用于最佳的模型选择.

    主要成果:

    • 在两个基准数据集上,iProps表现出卓越的识别性能.
    • 该软件成功地识别了最佳蛋白质特性,分类器和参数设置.
    • 它通过可解释模型生成详细的报告,并提供23个信息图表.

    结论:

    • iProps是蛋白质分类的强大,集成的工具,提供先进的功能工程和机器学习功能.
    • 它的自动机器学习和模型解释功能在生物信息学之外具有广泛的适用性.
    • 作为一个开源的,用户友好的平台,iProps可供所有编程背景的研究人员访问.