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GHOST-NOT和GHOST-YES:两个程序用于生成具有随机的寡核酸结合位点的高速生物传感器,具有基于实验验证算法的布尔逻辑函数的NOT或YES

Dimitrios Kaloudas¹, Nikolet Pavlova¹, Robert Penchovsky¹

¹Laboratory of Synthetic Biology and Bioinformatics, Faculty of Biology, Sofia University, "St. Kliment Ohridski", 1164 Sofia, 8 Dragan Tsankov Blvd., Sofia, Bulgaria.

Journal of biotechnology

|July 27, 2023

概括

计算方法使得能够设计用于基因治疗的高速全性头核糖酶. 这些工程酶可以精确控制基因表达,有助于开发新的抗癌治疗方法.

科学领域:

分子生物学分子生物学
生物技术是生物技术.
生物信息学是一种生物信息学.

背景情况:

体头核酶可以精确控制基因表达.
现有的 in vivo 选择方法用于 ribozyme 工程是复杂和耗时的.
计算方法可以加速功能性 ribozymes 的设计.

研究的目的:

介绍设计高速全性 рибо酶的计算工具.
为了使可感知特定寡核酸序列的 ribozymes 的创建.
为潜在的基因疗法应用开发 ribozymes,包括抗癌治疗.

主要方法:

使用RNA二次结构计算和分区函数分析进行in silico选择.
使用随机搜索算法来设计 ribozyme.
开发两个程序:GHOST-NOT和GHOST-YES用于计算设计.

主要成果:

设计的全性头核糖酶表现出高的自我分裂率 (约1.8 / 分钟).
ribozymes 在感知效应器序列方面表现出高选择性,区分完美的匹配与不匹配的序列.
计算方法在设计全性头核糖酶方面证明是准确的.

结论:

在 silico 设计是一个有效的策略,用于创建高速,选择性的全性 ribozymes.
GHOST 程序促进了用于基因表达控制的 ribozymes 的发展.
人工合成的核酶对先进的基因疗法和生物技术应用具有前途.

关键词:

全性 ribozymes 是一种类型的 ribozyme.计算机设计的设计.扩展的子头核糖酶.高速度的 ribozymes 的使用.在 Linux 操作系统中使用 Linux OS.基于RNA的计算方法软件工程软件工程软件工程有氧核酸感应型的 ribozymes.

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