增强器目标预测:最先进的方法和未来前景
Ramzan Umarov1, Chung-Chau Hon1
1RIKEN Centre for Integrative Medical Sciences, Yokohama RIKEN Institute, Yokohama, Japan.
Biochemical Society transactions
|October 13, 2023
概括
预测增强剂-基因相互作用是理解遗传疾病倾向的关键. 计算方法为识别这些关键的基因组调节元素提供了一个有价值的替代方法,而不是费力的实验验证.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 增强剂是对基因转录至关重要的调节性基因组区域,通常位于远离目标基因的位置.
- 增强剂在与疾病相关的遗传变异中具有显著的丰富性,使增强剂-基因相互作用研究对于理解遗传疾病倾向至关重要.
- 增强器目标的实验验证是耗时和资源密集的.
研究的目的:
- 审查和分类用于预测增强剂-基因相互作用的计算方法.
- 讨论各种预测方法的优缺点.
- 确定增强器目标预测的未来研究方向.
主要方法:
- 基于其基础原则和方法的预测方法的分类.
- 分析采用基因组特征 (保存,距离,序列) 的方法.
- 使用表观遗传学数据 (基因组标记,染色质接触) 和活性测量 (增强剂活性和基因表达的共变性) 的方法的评估.
主要成果:
- 对各种计算策略进行全面的概述,以增强目标预测.
- 讨论与不同预测技术相关的优点和局限性.
- 突出基因组扰动和染色体构造捕获技术近期进展对监督学习数据可用性的影响.
结论:
- 计算方法对于高效的增强剂-基因相互作用预测至关重要.
- 多种数据类型 (基因组,表观基因组,活动) 的整合提高了预测准确度.
- 未来的研究应该专注于利用新的实验数据和先进的计算模型来完善疾病基因发现的增强器目标预测.
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