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相关概念视频

Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Structure-Activity Relationships and Drug Design01:28

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
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Principles of Drug Action01:24

Principles of Drug Action

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Drugs are chemical substances that modify biological responses by interacting with macromolecular targets such as receptors, ion channels, transporters, and enzymes. Pharmacodynamics describes the course of action of drugs leading to the physiological effect at a specific site in the body.
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...
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Non-equilibrium in the Cell01:16

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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...
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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
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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.
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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药物发现中的生成人工智能:基本框架,最近的进展,挑战和机会.

Amit Gangwal1, Azim Ansari2, Iqrar Ahmad3

  • 1Department of Natural Product Chemistry, Shri Vile Parle Kelavani Mandal's Institute of Pharmacy, Dhule, Maharashtra, India.

Frontiers in pharmacology
|February 22, 2024
PubMed
概括

生成型人工智能 (AI) 通过创建新的分子来加速药物发现,以实现更快,更便宜的开发. 本综述探讨了用于新药设计的AI模型,强调了最近的进展和挑战.

关键词:
阿尔法折叠是什么意思阿尔法折叠聊天GPT 聊天 在GPT 聊天化学语言模型 化学语言模型德诺沃药物设计深度生成模型的模型.生成性的对抗性网络.大型语言模型.变量自动编码器 变量自动编码器

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科学领域:

  • 计算化学和化学信息学
  • 人工智能在药物发现中的作用
  • 药用化学 医学化学

背景情况:

  • 传统的药物发现是昂贵和耗时的,失败率很高.
  • 人工智能 (AI) 在整个制药科学领域提供了变革性的解决方案.
  • 生成型人工智能擅长创建新型数据,包括化学分子.

研究的目的:

  • 对新的药物设计进行生成性AI模型的审查.
  • 讨论这些AI模型的基础,框架和应用.
  • 探索近期的进展,挑战和生成AI在药物发现中的未来潜力.

主要方法:

  • 基础和先进的生成AI模型的审查.
  • 在分子性质预测,虚拟选和分子生成中分析AI应用.
  • 检查使用生成AI开发的案例研究和临床资产.

主要成果:

  • 生成型人工智能模型在设计新药候选药物方面显示出重大前景.
  • 人工智能加速识别具有所需药理动力学和药理动力学配置文件的分子.
  • 商业伙伴关系越来越多地利用人工智能来开发药物.

结论:

  • 生成型人工智能正在彻底改变新的药物设计,提供更快,更具成本效益的开发.
  • 持续的研究和开发对于充分实现AI在创造新药方面的潜力至关重要.
  • 人工智能驱动的药物发现正在向临床应用方向发展,证明了其实际影响.