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相关概念视频

GTPases and their Regulation02:14

GTPases and their Regulation

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Guanine nucleotide-binding proteins (G-proteins), also known as GTPases, are a superfamily of proteins that regulate many cellular processes, such as cell signaling, vesicular transport, and the regulation of cell shape and motility. Mutation or dysfunction of these proteins can lead to disease. There are around 40,000 known G-proteins that can broadly be classified into two groups ‒  small G-proteins consisting of a single domain and large multi-domain G-proteins.
Large G-proteins,...
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G Protein-coupled Receptors01:15

G Protein-coupled Receptors

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G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
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Gas Chromatography: Introduction01:13

Gas Chromatography: Introduction

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Gas chromatography (GC) is a technique for separating and analyzing volatile compounds in a sample. Its primary purpose is to identify and quantify components in complex mixtures, making it essential in fields such as environmental analysis, pharmaceuticals, and petrochemicals. GC is also called vapor-phase chromatography (VPC) or gas-liquid partition chromatography (GLPC).
In GC,  a sample is vaporized and mixed with an inert carrier gas (the mobile phase), which transports it through a...
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GPCRs Regulate Adenylyl Cylase Activity01:09

GPCRs Regulate Adenylyl Cylase Activity

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Some GPCRs transmit signals through adenylyl cyclase (AC), a transmembrane enzyme. AC helps synthesize second messenger cyclic adenosine monophosphate (cAMP). AC catalyzes cyclization reaction and converts ATP to cAMP by releasing a pyrophosphate. The pyrophosphate is further hydrolyzed to phosphate by the enzyme pyrophosphatase, which drives cAMP synthesis to completion. However, cAMP is rapidly degraded to 5′ AMP by the enzymes phosphodiesterase (PDE), preventing overstimulation of...
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Activation and Inactivation of G Proteins01:22

Activation and Inactivation of G Proteins

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Heterotrimeric G proteins are guanine nucleotide-binding proteins. As the name suggests, heterotrimeric G proteins are composed of three subunits: alpha, beta, and gamma. They remain GDP-bound or GTP-bound inside the cells and switch between inactive/active states. The Gα subunit possesses the nucleotide-binding pocket that binds guanine nucleotides and switches between GDP or GTP-bound states. In contrast, the Gꞵ and Gγ subunits are always bound together with high...
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G-protein Coupled Receptors01:21

G-protein Coupled Receptors

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G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.
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Updated: Jun 9, 2025

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization
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聊天GP-我吗? 没有.

Elias Levy1, Bennett Landman1

  • 1Vanderbilt University, Nashville, Tennessee, United States.

Journal of medical imaging (Bellingham, Wash.)
|October 30, 2024
PubMed
概括
此摘要是机器生成的。

2024年的生成人工智能 (GenAI) 工具可以在没有编码的情况下简化科学过程. 本研究探讨了定制大型语言模型 (LLM) 对五个研究实验室工作流的影响.

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科学领域:

  • 科学研究中的人工智能
  • 实验室工作流程优化工作流程优化
  • 生成型人工智能应用程序

背景情况:

  • 生成性AI (GenAI) 技术正在迅速发展.
  • 人工智能融入科学研究是一个日益增长的趋势.
  • 无代码GenAI对实验室工作流程的影响仍未得到充分研究.

研究的目的:

  • 评估2024年GenAI工具对科学过程的潜在影响.
  • 在研究实验室环境中展示定制大型语言模型 (LLM) 的效果.
  • 评估人工智能在五个不同的实验室工作流程中的实际应用.

主要方法:

  • 探索两个不同的AI工具.
  • 使用自定义的大型语言模型 (LLM).
  • 在五个不同的研究实验室工作流程中应用.
  • 在不需要特定编码专业知识的情况下进行评估.

主要成果:

  • 基因人工智能工具为增强科学过程提供了巨大的潜力.
  • 定制的LLM可以有效地集成到现有的实验室工作流程中.
  • 影响在不同的研究任务中有所不同,显示了好处和需要改进的领域.

结论:

  • 没有代码的GenAI为研究人员提供了一个可行的和可访问的选择.
  • 对特定科学领域的LLM定制进行进一步的研究是有必要的.
  • 人工智能集成,特别是LLMs,准备重塑实验室操作和研究效率.