星星:一个网络服务器,用于协助机器学习的定向蛋白质进化
Likun Yang1, Xiaoli Liang1, Na Zhang1
1Asymchem Life Science (Tianjin) Co., Ltd, Tianjin 300457, P. R. China.
ACS omega
|December 4, 2023
概括
我们开发了STAR,这是一个使用人工智能和贝叶斯优化推蛋白质序列的网络工具. 这个系统帮助蛋白质工程的研究人员,使先进的机器学习在没有编码技能的情况下可以获得.
科学领域:
- 生物技术是生物技术.
- 蛋白质工程是指蛋白质工程.
- 生命科学中的人工智能
背景情况:
- 蛋白质工程推动了农业,食品和制药领域的创新.
- 定向进化与人工智能相结合是一种强大的研发方法.
- 机器学习在蛋白质工程中的应用需要专门的技能.
研究的目的:
- 开发一个可访问的基于网络的系统,用于蛋白质序列推.
- 简化人工智能和机器学习在蛋白质工程中的应用.
- 为了提高蛋白质序列设计的成功率.
主要方法:
- 开发了STAR (通过人工智能进行序列推),这是一个基于Web的系统.
- 利用贝叶斯优化作为核心推引擎.
- 纳入了用于过的回归模型和一个in silico-directed进化方法.
主要成果:
- STAR为蛋白质序列建议提供了一个用户友好的平台.
- 该系统集成了先进的AI技术,包括贝叶斯优化和回归模型.
- 在的定向进化中,它扩大了对新型蛋白序列的搜索空间.
结论:
- STAR使人工智能在蛋白质工程中的使用民主化.
- 该系统有助于发现各种应用的改进蛋白序列.
- 网络可访问性 (https://www.FindProteinStar.com/) 降低了研究人员的障碍.
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