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Mateusz Marianski

Mateusz Marianski

Assistant Professor

Mateusz Marianski is an assistant professor in the Department of Chemistry. He teaches courses in physical chemistry and does research in the areas of computational chemistry and physical chemistry.

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Profile

Mateusz Marianski received a MS from The University of Wroclaw and a PhD from The CUNY Graduate Center and Hunter College. He did his postdoc at Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany. At Hunter College he teaches courses in physical chemistry and conducts research centered around structure formation and dynamics in carbohydrates.

Educational Background

  • University of Wroclaw, Poland (MS 2009)
  • CUNY Graduate Center and Hunter College (PhD 2013)
  • Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany (Postdoc. 2018)

Courses

Courses taught have included:

  • CHEM 35200 Physical Chemistry I
  • CHEM 35600 Physical Chemistry II

Research

Research Statement

Carbohydrates, one of the three important classes of biopolymers, are involved in a range of biological processes: they serve as structural polymer, energy storage and recognition module in immune system or cell-cell communication. Their multiple functions in living organism are facilitated by properties of the monomer: whereas other biopolymers assembles in a linear fashion, several distinct possibilities for glycosidic bond formation bolster the accessible structural space of carbohydrates over those available for nucleotides and peptides. Moreover, carbohydrates frequently differ only in spatial configuration of atoms, they carry the same mass-over-charge ratio and, hence, they are indistinguishable in a conventional mass spectrometry analysis and requires more elaborate techniques. These complications in glycoanalitics caused that glycomics lags behind more mature fields of genomics and proteomics.

In the consequence, the relation between the carbohydrate sequence and the structure (hence function) it adopts remains largely unknown. In recent years novel glycosynthesis and glycoanalytic techniques initiated a rapid development in glycomics. Especially two analytic techniques promise to become the new standard: Ion Mobility-mass spectrometry (IM-MS) and cold-ion gas-phase infrared spectroscopy.

These two methods are complementary in their very nature; the IM-MS conveniently reduces the structural information to a single number - the collision cross section - that describes an overall molecular shape, whereas the vibrational spectroscopy extracts in-depth details of the molecular structure and conformation. However, in order to fully benefit from these novel experimental techniques and advance our understanding of the carbohydrate structural space, the data needs to be cracked by theoretical chemistry methods.

In the lab, we focus on theoretical understanding of in-depth relation between the carbohydrate sequence and its molecular properties. Our set of tools, selection of which depends on a particular problem we want to tackle, ranges from simple force-field based molecular modeling to high-level quantum chemistry methods. Despite this flexibility, our workhorse is the density-functional theory which provides excellent balance between accuracy and computational tractability for carbohydrate-sized molecules and enables to access their dynamic properties using ab initio molecular dynamics.

The research provides excellent opportunity to gain an understanding of concepts ubiquitous in all branches of chemistry like basics of bio- and glycochemistry, as well as more advanced concepts of quantum mechanics, molecular energy landscapes and reaction mechanisms. Moreover, research in the theoretical chemistry lab will teach basics of scripting/programing (linux, bash, python, perl, C++…) and data-analysis skills.

Selected Publications

  • Mucha, E.; Stuckmann, A.; Marianski, M.; Struwe, W. B.; Meijer, G.; Pagel, K. In-Depth Structural Analysis of Glycans in the Gas Phase. Chem. Sci. 2019, 10 (5), 1272–1284.
  • Palanichamy, K.; Bravo, M. F.; Shlain, M. A.; Schiro, F.; Naeem, Y.; Marianski, M.; Braunschweig, A. B. Binding Studies on a Library of Induced-Fit Synthetic Carbohydrate Receptors with Mannoside Selectivity. Chem. - A Eur. J. 2018, 24 (52), 13971–13982.
  • Mucha, E.; Marianski, M.; Xu, F.; Thomas, D. A.; Meijer, G.; von Helden, G.; Seeberger, P. H.; Pagel, K. Unravelling the Structure of Glycosyl Cations via Cold-Ion Infrared Spectroscopy. Nat. Commun. 2018, 9 (1), 4174.
  • Mucha, E.; Lettow, M.; Marianski, M.; Thomas, D. A.; Struwe, W. B.; Harvey, D. J.; Meijer, G.; Seeberger, P. H.; von Helden, G.; Pagel, K. Fucose Migration in Intact Protonated Glycan Ions: A Universal Phenomenon in Mass Spectrometry. Angew. Chemie Int. Ed. 2018, 57 (25), 7440–7443.
  • Mucha, E.; González Flórez, A. I.; Marianski, M.; Thomas, D. A.; Hoffmann, W.; Struwe, W. B.; Hahm, H. S.; Gewinner, S.; Schöllkopf, W.; Seeberger, P. H.; et al. Glycan Fingerprinting via Cold-Ion Infrared Spectroscopy. Angew. Chemie Int. Ed. 2017, 56 (37), 11248–11251.
  • Marianski, M.; Supady, A.; Ingram, T.; Schneider, M.; Baldauf, C. Assessing the Accuracy of Across-the-Scale Methods for Predicting Carbohydrate Conformational Energies for the Examples of Glucose and α-Maltose. J. Chem. Theory Comput. 2016, 12 (12), 6157–6168.
  • Roy, D.; Marianski, M.; Maitra, N. T.; Dannenberg, J. J. Comparison of Some Dispersion-Corrected and Traditional Functionals with CCSD(T) and MP2 Ab Initio Methods: Dispersion, Induction, and Basis Set Superposition Error. J. Chem. Phys. 2012, 137 (13), 134109.

Contact Details

Mateusz Marianski

Chemistry
68th Street North 1321B
212-772-5343
mmarians@hunter.cuny.edu

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