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arXiv 2212.06014physics.chem-ph
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量子化学计算的[3 + 2]环加成反应的反应曲线

Reaction profiles for quantum chemistry-computed [3 + 2] cycloaddition reactions

Thijs Stuyver, Kjell Jorner, Connor Coley

摘要:

基于[3 + 2]偶极环加成的生物正交点击化学对生物化学领域产生了深远的影响,并且已经投入了大量的努力来鉴定用于此目的的有前途的新候选反应。为了衡量预期反应是否可能是合适的生物正交点击反应,关于在靶和脱靶活化以及反应能的信息是非常有价值的。在这里,我们使用一个自动化的工作流程,基于autodE程序,计算超过5000个反应曲线的[3 + 2]环加成涉及合成的亲偶极试剂和一组生物启发的结构基序。基于简洁的基准研究,选择B3 LYP-D3(BJ)/def 2-TZVP//B3 LYP-D3(BJ)/def 2-SVP理论水平用于DFT计算,并施加标准条件和(水)SMD模型以模拟生理条件。我们相信,这些数据,以及高通量反应曲线计算的工作流程,将有助于筛选新的生物正交反应,以及开发新的机器学习模型,用于更广泛地预测化学反应性。

英文摘要:

Bio-orthogonal click chemistry based on [3 + 2] dipolar cycloadditions has had a profound impact on the field of biochemistry and significant effort has been devoted to identify promising new candidate reactions for this purpose. To gauge whether a prospective reaction could be a suitable bio-orthogonal click reaction, information about both on- and off-target activation and reaction energies is highly valuable. Here, we use an automated workflow, based on the autodE program, to compute over 5000 reaction profiles for [3 + 2] cycloadditions involving both synthetic dipolarophiles and a set of biologically-inspired structural motifs. Based on a succinct benchmarking study, the B3LYP-D3(BJ)/def2-TZVP//B3LYP-D3(BJ)/def2-SVP level of theory was selected for the DFT calculations, and standard conditions and an (aqueous) SMD model were imposed to mimic physiological conditions. We believe that this data, as well as the presented workflow for high-throughput reaction profile computation, will be useful to screen for new bio-orthogonal reactions, as well as for the development of novel machine learning models for the prediction of chemical reactivity more broadly.

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