当前位置: X-MOL 学术J. Am. Soc. Mass Spectrom. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fragmentation of Polyfunctional Compounds Recorded Using Automated High-Throughput Desorption Electrospray Ionization.
Journal of the American Society for Mass Spectrometry ( IF 3.1 ) Pub Date : 2021-07-19 , DOI: 10.1021/jasms.1c00176
MyPhuong T Le 1 , Nicolás M Morato 1 , Andreas Kaerner 2 , Christopher J Welch 3 , R Graham Cooks 1
Affiliation  

Using desorption electrospray ionization (DESI) as part of an automated high-throughput system, tandem mass spectra of the compounds in a pharmaceutical library were recorded in the positive mode under standardized conditions. Quality control filtering yielded an MS/MS library of 16 662 spectra. Fragmentation of subsets of the compounds in the library chosen to contain a single instance of a particular functional group (amide, piperazine, sulfonamide) was predicted by experts, and the results were compared with the experimental data. Expert performance was good to excellent for all the cases evaluated. Substituents on the functional groups were found to exert important secondary control over the fragmentation, with the main effect observed being product ion stabilization by aromatic substitution, which was consistent across the different groups evaluated. These substituent effects are generally explicable in terms of standard physical organic chemistry considerations of product ion stability as controlling fragmentation. A somewhat unexpected feature was the incidence of homolytic cleavages, driven by the stability of substituted amine radical cations. The findings of this study are intended to lay the groundwork for machine learning approaches to performing MS/MS spectrum → structure and structure → MS/MS spectrum operations on the same experimental data set. The effort involved and the success achieved in computer-aided interpretation, now underway, will be compared with the expert performance as described here.

中文翻译:

使用自动高通量解吸电喷雾电离记录的多官能化合物的碎裂。

使用解吸电喷雾电离 (DESI) 作为自动化高通量系统的一部分,在标准化条件下以正模式记录药物库中化合物的串联质谱。质量控制过滤产生了一个包含 16 662 个光谱的 MS/MS 库。专家预测了文库中选择包含单个特定官能团(酰胺、哌嗪、磺酰胺)实例的化合物子集的片段化,并将结果与​​实验数据进行比较。对于所有评估的案例,专家表现从好到优秀。发现官能团上的取代基对碎片产生重要的二级控制,观察到的主要作用是通过芳香取代稳定产物离子,这在评估的不同组中是一致的。这些取代基效应通常可以根据产物离子稳定性作为控制碎裂的标准物理有机化学考虑来解释。一个有点出乎意料的特征是均裂的发生,这是由取代的胺自由基阳离子的稳定性驱动的。本研究的结果旨在为机器学习方法奠定基础,以便在同一实验数据集上执行 MS/MS 谱→结构和结构→MS/MS 谱操作。目前正在进行的计算机辅助解释所涉及的努力和取得的成功将与此处描述的专家表现进行比较。这些取代基效应通常可以根据产物离子稳定性作为控制碎裂的标准物理有机化学考虑来解释。一个有点出乎意料的特征是均裂的发生,这是由取代的胺自由基阳离子的稳定性驱动的。本研究的结果旨在为机器学习方法奠定基础,以便在同一实验数据集上执行 MS/MS 谱→结构和结构→MS/MS 谱操作。目前正在进行的计算机辅助解释所涉及的努力和取得的成功将与此处描述的专家表现进行比较。这些取代基效应通常可以根据产物离子稳定性作为控制碎裂的标准物理有机化学考虑来解释。一个有点出乎意料的特征是均裂的发生,这是由取代的胺自由基阳离子的稳定性驱动的。本研究的结果旨在为机器学习方法奠定基础,以便在同一实验数据集上执行 MS/MS 谱→结构和结构→MS/MS 谱操作。目前正在进行的计算机辅助解释所涉及的努力和取得的成功将与此处描述的专家表现进行比较。本研究的结果旨在为机器学习方法奠定基础,以便在同一实验数据集上执行 MS/MS 谱→结构和结构→MS/MS 谱操作。目前正在进行的计算机辅助解释所涉及的努力和取得的成功将与此处描述的专家表现进行比较。本研究的结果旨在为机器学习方法奠定基础,以便在同一实验数据集上执行 MS/MS 谱→结构和结构→MS/MS 谱操作。目前正在进行的计算机辅助解释所涉及的努力和取得的成功将与此处描述的专家表现进行比较。
更新日期:2021-07-19
down
wechat
bug