预测蛋白序列中的核酸结合残留物:最近的进展和未来的前景
Sushmita Basu1, Yuedong Yang2, Lukasz Kurgan1
1Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
Current opinion in structural biology
|June 22, 2025
概括
预测DNA结合残留物 (DBRs) 和RNA结合残留物 (RBRs) 需要对无序区域和特定核酸类型进行改进. 尽量减少交叉预测对于准确的计算工具至关重要.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 对DNA结合残留物 (DBR) 和RNA结合残留物 (RBR) 的计算预测是一个快速发展的领域.
- 最近开发了许多预测器,通常利用深度神经网络和蛋白质语言模型.
- 现有的工具提供准确的预测,并可通过代码或Web服务器访问.
研究的目的:
- 识别当前DBR和RBR预测工具的局限性.
- 强调需要在本质上混乱的地区发挥作用的工具.
- 解决与特定的RNA和DNA类型相互作用的预测缺乏特异性的问题.
主要方法:
- 对DBR和RBR的现有计算预测器进行审查和分析.
- 识别当前预测能力的缺口.
- 强调需要在RBR和DBR之间进行交叉预测量化.
主要成果:
- 发现了在本质上混乱的地区预测DBR/RBR的工具的严重短缺.
- 目前的预测器缺乏区分与特定RNA和DNA类型的相互作用的能力.
- 在RBR和DBR之间进行交叉预测仍然是一个挑战.
结论:
- 未来的DBR和RBR预测器必须解决内在无序的区域和特定的核酸相互作用.
- 量化和最小化交叉预测对于开发准确和独特的工具至关重要.
- 需要改进的计算模型来提高结合性残留物预测的特异性和适用性.
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