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相关概念视频

Drug Discovery: Overview01:26

Drug Discovery: Overview

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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相关实验视频

Updated: Jul 13, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
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在高通量虚拟选管道中进行最佳决策.

Hyun-Myung Woo1, Xiaoning Qian2,3, Li Tan3

  • 1Department of Biomedical & Robotics Engineering, Incheon National University, Incheon 22012, Republic of Korea.

Patterns (New York, N.Y.)
|November 30, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用多忠度模型进行高通量虚拟选 (HTVS) 的最佳框架. 它通过有效地分配计算资源,平衡准确性和速度来加速选.

关键词:
在HTS中,HTS就是HTS.这就是HTVS.罗西 (ROCI) 罗西 (ROCI) 是一个词.高通量选的高通量选高通量虚拟选管道高通量虚拟选管道最优的计算活动活动.最佳决策的最佳决策最佳的查是最优的查.计算投资的回报率计算投资的回报率

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科学领域:

  • 计算化学是一种计算化学.
  • 材料科学是一种材料科学.
  • 药物发现 药物发现

背景情况:

  • 对分子候选物的有效选对于药物发现和材料设计至关重要.
  • 广大的搜索空间和高保真模型成本阻碍了实际选.

研究的目的:

  • 为构建和优化高通量虚拟选 (HTVS) 管道制定一个一般框架.
  • 为了提高效率,在多忠实度模型之间优化分配计算资源.

主要方法:

  • 提出了一个HTVS管道的框架,使用多忠度模型.
  • 根据模型的成本和准确性,制定了最佳的资源配置策略.
  • 通过模拟和真实世界的数据验证了框架.

主要成果:

  • 证明了虚拟选过程的显著加速.
  • 在不影响预测准确性的情况下实现了加速.
  • 启用了适应性策略,以计算效率的准确性进行交易.

结论:

  • 建议的最佳HTVS框架提高了计算选效率.
  • 该框架在虚拟选任务中提供了平衡准确性和速度的灵活性.
  • 这种方法对于加速药物开发和材料设计等领域的发现非常有价值.