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Updated: Jun 5, 2026

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
合成可访问性评分作为在聚合物材料设计中的虚拟化学结构的过器
Sergey V Trepalin1, Pavel V Komarov2, Andrey A Knizhnik1,3
1Kintech Lab Ltd, 3rd Khoroshevskaya Str. 12, 123298, Moscow, Russian Federation.
Journal of molecular modeling
|March 3, 2026
概括
这项研究适应了聚合物的合成可访问性得分 (SAscore),使得聚合物结构的高效虚拟选成为可能. 分析不同的碎片来源对SAScore的影响最小,确保可靠的聚合物设计.
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:
- 由于庞大的化学空间,聚合物的虚拟选是计算密集的.
- 合成可访问性评分 (SAscore) 有助于候选物减少,但最初不适用于聚合物.
- 适应SAscore对于高效的聚合物设计和发现至关重要.
研究的目的:
- 适应和验证聚合物特定的合成可访问性评分 (SAscore) 以实现高效的虚拟选.
- 评估不同分子碎片数据库对聚合物SAscore计算的影响.
- 为聚合物研究人员提供可访问的资源.
主要方法:
- 适应了 Ertl 和 Schüffenhauer SAscore 算法用于聚合物结构,处理多个最小重复单位 (SRU).
- 实施了一个将化学结构分解成碎片并计算频率的程序.
- 利用PubChem化合物和Aurora精细化学品数据库进行碎片采购.
主要成果:
- 适应聚合物的SAscore有效过了聚合物结构.
- 在大多数情况下,SAscore计算显示不同碎片数据库之间的波动最小.
- 对于具有罕见碎片的结构,出现了显著的SAScore变化.
结论:
- 开发的聚合物适应的SAscore是减少聚合物设计中的计算需求的可行工具.
- 碎片来源的选择对SAScore的影响很小,但罕见的碎片需要仔细考虑.
- 提供分子碎片和聚合物SAscore的公开数据库,以帮助研究.
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