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Two-Dimensional Partial Covariance Mass Spectrometry for Macromolecular Sequence Analysis
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主讲人: Prof. Dr. Vitali Averbukh, Imperial College London
地点: 物理楼 中215
时间: 2024年10月9日 (星期三) 18:00
主持 联系人: 李铮(Email: zheng.li@pku.edu.cn)
主讲人简介: Prof. Dr. Vitali Averbukh is a theoretician working on a wide range of topics in molecular spectroscopy, from ab initio many-body theory of attosecond electron dynamics to biomolecular mass spectrometry. In the field of attosecond physics, he studies fundamental ultrafast electronic processes that occur in molecules and clusters following excitation and/or ionisation. These electronic transitions are driven by electron-electron interaction and are the basic manifestation of the electron correlation in nature. His group is developing and using first principles many-electron theoretical methods to investigate the complex dynamics of the known electronic rearrangements and to predict new physical phenomena of this
type. The ab initio computational method developed in his group recently, B-spline algebraic diagrammatic construction (ADC), allows us to look inside the radiative and non-radiative many-electron transitions in order to study the onset and the effect of quantum coherence on these phenomena.

Two developed -dimensional as a tool covariance for the study mapping of mechanisms spectroscopy of radiation was originally -induced fragmentation of di- and tri-atomic molecules. The main problem arising in applications of covariance mapping to larger molecular species stems from the overwhelming spurious signals of no physical significance induced by fluctuations of experimental parameters. We have recently pioneered the self-correcting partial-covariance spectroscopy which eliminates the need for continuous monitoring of multiple fluctuating experimental parameters enabling covariance mapping of macromolecular decompositions. This opens the opportunity for mechanistic studies of macromolecular decompositions using covariance mapping. Moreover, we demonstrate that the two-dimensional partial covariance mass spectrometry (2D-PC-MS) based on the self-correcting partial covariance mapping has an unparalleled analytical capability. It enables confident reconstruction of the biomolecular sequences in the cases where the standard MS fails as a matter of principle – even at the theoretical infinite mass precision and resolution, as well as full sequence coverage by fragmentations. The sequence reconstruction can be automated both for peptides and for intact proteins.