HTA - 一个开源软件,用于在聚合反应中将头部和尾部位置分配给单体SMILES
Brenda de Souza Ferrari1, Ronaldo Giro2, Mathias B Steiner3
1IBM Research, Avenida República do Chile, 330, Rio de Janeiro, RJ, 20031-170, Brazil.
Journal of cheminformatics
|October 29, 2025
概括
一个新的算法准确地分配了单体 SMILES 字符串中的头和尾原子,这对于聚合物发现中的人工智能 (AI) 至关重要. 这提高了AI模型的性能,用于预测聚合物特性.
科学领域:
- 聚合物科学 聚合物科学
- 计算化学的计算化学
- 材料 信息学 信息学
背景情况:
- 人工智能 (AI) 正在彻底改变聚合物发现和设计.
- 准确的单体表示,如SMILES字符串,对于人工智能驱动的聚合物信息学至关重要.
- 在单体SMILES中,头和尾原子的精确识别决定了聚合,并影响了聚合物的特性.
研究的目的:
- 开发一种可靠的方法,用于在单体SMILES中自动分配头和尾原子.
- 为了提高聚合物AI预测模型的准确性.
- 为了促进用于聚合物信息学的数据预处理.
主要方法:
- 开发了一个HeadTailAssign (HTA) 算法.
- 分析了使用核友性的原子指数的功能组反应性.
- 将算法应用于206种聚合物前体的参考数据集.
主要成果:
- 在预测204个单体SMILES的聚合物类别方面,HTA算法实现了99%的准确性.
- 头部和尾部原子被正确地分配到187个单体SMILES中,获得了91%的准确性.
- 该算法成功地用于数据预处理,标记单体中的链接键.
结论:
- HTA算法提供了一个强大的解决方案,用于在单体SMILES中分配头和尾原子.
- 这种方法显著改善了基于AI的聚合物研究的基础.
- 该HTA代码是公开可用的,用于进一步的研究和应用.
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