CasGen:CRISPR Cas蛋白设计的规范化生成模型,具有分类和基于边际的优化
Bharani Nammi1, Vindi M Jayasinghe-Arachchige2, Sita Sirisha Madugula2
1Department of Industrial, Manufacturing and Systems Engineering, University of Texas at Arlington, Arlington, Texas, United States.
bioRxiv : the preprint server for biology
|March 10, 2025
概括
CasGen,一个新的AI模型,设计了用于基因组编辑的新型聚类正规间隔短Palindromic重复 (CRISPR) 相关 (Cas) 蛋白质. 这扩大了合成生物学和治疗应用的工具包,具有精确和多功能Cas变体.
科学领域:
- 生物技术是生物技术.
- 基因组学就是基因组学.
- 蛋白质工程是指蛋白质工程.
背景情况:
- 目前的基因组编辑依赖于一组有限的聚类定期间隔的短Palindromic重复 (CRISPR) 相关 (Cas) 蛋白质,主要是Cas9和Cas12变体.
- 这种限制限制了基因组工程应用的范围和多功能性.
研究的目的:
- 开发一种新的深度生成模型,CasGen,用于设计新的Cas9和Cas12蛋白质.
- 为了提高产生的Cas蛋白质的质量和功能完整性,用于更广泛的基因组编辑应用.
主要方法:
- 利用基于变压器的深度生成模型 (CasGen) 与基于边际的潜空间规范化.
- 针对非Cas序列过的综合分类,用于指导设计的贝叶斯优化,以及基于AlphaFold的结构验证.
- 编制了来自InterPro和PDB的3,021个Cas9,597个Cas12和597个非Cas蛋白序列的数据集.
主要成果:
- 通过AlphaFold2/3.3.2,生成的Cas9和Cas12蛋白与已知的变体具有很高的结构相似性 (TM分数为0.70-0.85,RMSD<2.00 Å).
- 序列身份分析揭示了新的Cas9基因 (28-55%的同一性) 和Cas12a变体 (多达48%的同一性).
- BLAST 分析证实了生成的序列的新性,过了非常相似的现有 Cas 蛋白.
结论:
- CasGen模型成功设计了多样化和功能健全的Cas蛋白质,显著扩大了基因组编辑工具包.
- 这种深层次的生成方法对推进合成生物学和开发更精确,更通用的基于Cas的治疗工具具有前景.
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