在药物基因组学和药物重定位中的模式识别算法-案例研究:利巴维林和洛皮纳维尔
Hiram Calvo1, Diana Islas-Díaz2, Eduardo Hernández-Laureano2
1Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City 07738, Mexico.
Pharmaceuticals (Basel, Switzerland)
|November 27, 2025
概括
模式识别和机器学习通过分析复杂的生物医学数据来加速药物发现. 这些方法可以识别基因药物反应和重新定位药物,进步精准医学.
科学领域:
- 计算生物学和生物信息学
- 药物基因组学和药物发现
- 医学中的人工智能
背景情况:
- 模式识别和机器学习对于分析药物发现中复杂的生物医学数据至关重要.
- 这些技术越来越多地应用于药物基因组学和计算药物重定位.
- 了解对药物反应的遗传影响,并确定现有药物的新用途是关键的挑战.
研究的目的:
- 审查药物基因组学和药物重定位方面的最先进的模式识别技术.
- 为了说明应用程序,使用案例研究,如利巴维林和洛皮纳维尔用于COVID-19.
- 讨论当前的局限性和该领域的未来方向.
主要方法:
- 审查传统的机器学习 (例如SVM),深度学习,全基因组协会研究 (GWAS) 和生物标志物发现.
- 对药物基因组数据进行分析,以预测药物反应.
- 在子查和人工智能辅助的重新用途药物的识别.
主要成果:
- 在机器学习驱动的药物响应者的预测中取得了成功.
- 突出了AI在识别重用药物的作用,例如用于COVID-19的巴里西提尼布.
- 确定了包括数据稀缺性,模型解释性和翻译差距在内的局限性.
结论:
- 模式识别算法显示出对推进精准医学和加速药物发现的重大前景.
- 整合多学科数据和提高算法解释性是关键的未来步骤.
- 需要加强计算预测和实验验证之间的协同作用,以克服挑战并充分发挥潜力.
关键词:
在 COVID-19 疫情中,深度学习是一种深度学习.药物重用是为了改变药物的用途.洛皮纳维尔 (lopinavir) 是一种机器学习是机器学习.模式识别 模式识别 模式识别药物基因组学 药物基因组学利巴维林是一种利巴维林.更多相关视频
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
2.1K
08:31Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
5.5K
相关概念视频
Leaky Scanning
5.6K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.6K
Riboswitches
9.5K
Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...
9.5K
Ribosome Profiling
4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K
Drug Discovery: Overview
10.9K
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...
10.9K
