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相关概念视频

Introduction to Functional Groups02:08

Introduction to Functional Groups


Functional groups are group of atoms with specific chemical properties that occur within organic molecules and sometimes denoted as “R”. Functional groups are found along the carbon backbone of macromolecules can form chains or rings of carbon atoms. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of common functional groups
The table below summarizes some of the major functional groups in organic chemistry. (The...
Overview of Advanced Functional Groups02:22

Overview of Advanced Functional Groups


Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:

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相关实验视频

Updated: Jun 26, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

使用人工智能进行酶功能分类.

Ha Rim Kim1, Hongkeun Ji1, Gi Bae Kim2

  • 1Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), KAIST Institute for BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Trends in biotechnology
|March 28, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 加快了酶功能预测,克服了实验的局限性. 深度学习模型通过自动提取特征来提高准确性,为新型酶发现铺平了道路.

关键词:
欧洲共同体号码 欧洲共同体号码公共公共服务术语 公共公共服务术语深度学习是一种深度学习.酵素酶是一种酶.机器学习是机器学习.代谢过程中的代谢.

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Artificial Intelligence Approaches to Assessing Primary Cilia
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Artificial Intelligence Approaches to Assessing Primary Cilia
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科学领域:

  • 生物化学 生物化学
  • 生物信息学是一种生物信息学.
  • 人工智能的人工智能

背景情况:

  • 酶对于细胞代谢至关重要,但实验性功能阐明是缓慢而昂贵的.
  • 开发高吞吐量和可扩展的方法来预测酶功能是一个关键的研究挑战.

研究的目的:

  • 审查人工智能 (AI) 驱动的酶功能注释方面的进展.
  • 将传统的机器学习 (ML) 与最先进的深度学习 (DL) 方法在这个领域进行比较.

主要方法:

  • 讨论人工智能驱动的方法用于酶功能的预测.
  • 强调从传统的ML转向DL技术的过渡.
  • 检查DL模型自动从原始数据中提取特征的能力.

主要成果:

  • 深度学习模型显示,由于自动化特征提取,酶功能的预测性能提高.
  • 与传统的实验方法相比,人工智能方法提供了可扩展和高吞吐量解决方案.

结论:

  • 人工智能,特别是深度学习,显著改善了酶功能注释.
  • 未来的方向包括整合生成性AI和大生物数据,用于新型酶发现和新型酶设计.