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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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通过高性能计算加速COVID-19药物发现.

Alexander Heifetz1

  • 1In Silico Research and Development, Evotec UK Ltd., Abingdon, UK. alex.heifetz@evotec.com.

Methods in molecular biology (Clifton, N.J.)
|September 13, 2023
PubMed
概括
此摘要是机器生成的。

加快药物发现利用人工智能 (AI) 和机器学习 (ML) 等计算方法与高性能计算 (HPC) 上的分子动力学 (MD) 模拟集成,以快速识别治疗方法.

科学领域:

  • 计算化学和药理学计算化学和药理学
  • 药物的发现和开发.
关键词:
在这里,我们可以看到AIAIAI.亲和关系预测预测.人工智能的人工智能是人工智能.这就是ESMACS.ML ML 在 ML机器学习 机器学习分子动力学分子动力学新型药物设计的新这就是SBDDSBDD的意思.基于结构的药物设计.时间 时间 时间 时间

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  • 生物信息学和计算生物学
  • 背景情况:

    • COVID-19 疫情凸显了传统药物发现的缓慢而昂贵的性质.
    • 迫切需要加快治疗开发,特别是对于新出现的传染病.
    • 未来的流行病需要更快的方法来识别和开发治疗方法.

    结论:

    • 计算方法,特别是AI / ML与HPC上的MD,为大流行速度的药物发现提供了途径.
    • 这种综合方法可以大大减少开发新疗法的时间和成本.
    • 描述的战略为快速应对未来健康危机提供了一个框架.