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质子化位点对 CIDMD 量子化学建模的碰撞诱导解离-MS/MS 的影响。

Impact of Protonation Sites on Collision-Induced Dissociation-MS/MS Using CIDMD Quantum Chemistry Modeling.

机构信息

Department of Chemistry, University of California, Davis, California 95616, United States.

West Coast Metabolomics Center, University of California, Davis, California 95616, United States.

出版信息

J Chem Inf Model. 2024 Oct 14;64(19):7457-7469. doi: 10.1021/acs.jcim.4c00761. Epub 2024 Sep 27.

DOI:10.1021/acs.jcim.4c00761
PMID:39329341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11492807/
Abstract

Protonation is the most frequent adduct found in positive electrospray ionization collision-induced mass spectra (CID-MS/MS). In a parallel report Lee, J. 2024, 10.1021/acs.jcim.4c00760, we developed a quantum chemistry framework to predict mass spectra by collision-induced dissociation molecular dynamics (CIDMD). As different protonation sites affect fragmentation pathways of a given molecule, the accuracy of predicting tandem mass spectra by CIDMD ultimately depends on the choice of its protomers. To investigate the impact of molecular protonation sites on MS/MS spectra, we compared CIDMD-predicted spectra to all available experimental MS/MS spectra by similarity matching. We probed 10 molecules with a total of 43 protomers, the largest study to date, including organic acids (sorbic acid, citramalic acid, itaconic acid, mesaconic acid, citraconic acid, and taurine) as well as aromatic amines including uracil, aniline, bufotenine, and psilocin. We demonstrated how different protomers can converge different fragmentation pathways to the same fragment ions but also may explain the presence of different fragment ions in experimental MS/MS spectra. For the first time, we used in silico MS/MS predictions to test the impact of solvents on proton affinities, comparing the gas phase and a mixture of acetonitrile/water (1:1). We also extended applications of in silico MS/MS predictions to investigate the impact of protonation sites on the energy barriers of isomerization between protomers via proton transfer. Despite our initial hypothesis that the thermodynamically most stable protomer should give the best match to the experiment, we found only weak inverse relationships between the calculated proton affinities and corresponding entropy similarities of experimental and CIDMD-predicted MS/MS spectra. CIDMD-predicted mechanistic details of fragmentation reaction pathways revealed a clear preference for specific protomer forms for several molecules. Overall, however, proton affinity was not a good predictor corresponding to the predicted CIDMD spectra. For example, for uracil, only one protomer predicted all experimental MS/MS fragment ions, but this protomer had neither the highest proton affinity nor the best MS/MS match score. Instead of proton affinity, the transfer of protons during the electrospray process from the initial protonation site (i.e., mobile proton model) better explains the differences between the thermodynamic rationale and experimental data. Protomers that undergo fragmentation with lower energy barriers have greater contributions to experimental MS/MS spectra than their thermodynamic Boltzmann populations would suggest. Hence, in silico predictions still need to calculate MS/MS spectra for multiple protomers, as the extent of distributions cannot be readily predicted.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/7e559be245db/nihms-2027844-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/b493e84b85ed/nihms-2027844-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/d8d8cef8f4fe/nihms-2027844-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/72a177693a20/nihms-2027844-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/29bc3026d2e7/nihms-2027844-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/4bc1c8bb32f5/nihms-2027844-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/71759735ea5d/nihms-2027844-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/7e559be245db/nihms-2027844-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/b493e84b85ed/nihms-2027844-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/d8d8cef8f4fe/nihms-2027844-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/72a177693a20/nihms-2027844-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/29bc3026d2e7/nihms-2027844-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/4bc1c8bb32f5/nihms-2027844-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/71759735ea5d/nihms-2027844-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f28/11492807/7e559be245db/nihms-2027844-f0008.jpg

质子化是正电喷雾电离碰撞诱导质谱(CID-MS/MS)中最常见的加合物。在一份平行报告中,Lee,J. 2024, 10.1021/acs.jcim.4c00760,我们开发了一种量子化学框架,通过碰撞诱导解离分子动力学(CIDMD)来预测质谱。由于不同的质子化位点会影响给定分子的碎裂途径,因此 CIDMD 预测串联质谱的准确性最终取决于其前体的选择。为了研究分子质子化位点对 MS/MS 谱的影响,我们通过相似性匹配将 CIDMD 预测的谱与所有可用的实验 MS/MS 谱进行了比较。我们比较了 10 种分子的 43 种前体,这是迄今为止最大的研究,包括有机酸(山梨酸、柠檬酸、衣康酸、甲基丙烯酸、柠康酸和牛磺酸)以及芳香胺,包括尿嘧啶、苯胺、 bufotenine 和 psilocin。我们展示了不同的前体如何将不同的碎裂途径收敛到相同的碎片离子,但也可能解释实验 MS/MS 谱中不同碎片离子的存在。我们首次使用计算机预测的 MS/MS 来测试溶剂对质子亲和力的影响,比较了气相和乙腈/水(1:1)混合物。我们还通过质子转移将计算机预测的 MS/MS 应用于研究质子化位点对前体之间异构化能垒的影响。尽管我们最初的假设是热力学上最稳定的前体应该与实验结果最匹配,但我们发现计算的质子亲和力与实验和 CIDMD 预测的 MS/MS 谱的相应熵相似性之间只有较弱的反比关系。CIDMD 预测的碎裂反应途径的机制细节显示,对于几种分子,对特定前体形式有明显的偏好。然而,总体而言,质子亲和力并不是与预测的 CIDMD 谱相对应的良好预测因子。例如,对于尿嘧啶,只有一种前体预测了所有实验 MS/MS 碎片离子,但这种前体既没有最高的质子亲和力,也没有最好的 MS/MS 匹配分数。相反,在电喷雾过程中质子从初始质子化位点(即移动质子模型)的转移更好地解释了热力学原理和实验数据之间的差异。具有较低能量壁垒的碎裂前体对实验 MS/MS 谱的贡献大于其热力学玻尔兹曼种群所表明的贡献。因此,计算机预测仍然需要为多个前体计算 MS/MS 谱,因为分布程度无法轻易预测。

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