Evidence map›Paper›PMID 35051172›Full record

ArticlePLoS computational biology2022

Use of Raman and Raman optical activity to extract atomistic details of saccharides in aqueous solution.

Vladimír Palivec, Christian Johannessen, Jakub Kaminský, Hector Martinez-Seara

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Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vladimír PalivecInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic.ORCID 0000-0003-0297-715X
Christian JohannessenDepartment of Chemistry, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-2613-9476
Jakub KaminskýInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic.ORCID 0000-0001-6347-3022
Hector Martinez-SearaInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic.ORCID 0000-0001-9716-1713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugars are crucial components in biosystems and industrial applications. In aqueous environments, the natural state of short saccharides or charged glycosaminoglycans is floating and wiggling in solution. Therefore, tools to characterize their structure in a native aqueous environment are crucial but not always available. Here, we show that a combination of Raman/ROA and, on occasions, NMR experiments with Molecular Dynamics (MD) and Quantum Mechanics (QM) is a viable method to gain insights into structural features of sugars in solutions. Combining these methods provides information about accessible ring puckering conformers and their proportions. It also provides information about the conformation of the linkage between the sugar monomers, i.e., glycosidic bonds, allowing for identifying significantly accessible conformers and their relative abundance. For mixtures of sugar moieties, this method enables the deconvolution of the Raman/ROA spectra to find the actual amounts of its molecular constituents, serving as an effective analytical technique. For example, it allows calculating anomeric ratios for reducing sugars and analyzing more complex sugar mixtures to elucidate their real content. Altogether, we show that combining Raman/ROA spectroscopies with simulations is a versatile method applicable to saccharides. It allows for accessing many features with precision comparable to other methods routinely used for this task, making it a viable alternative. Furthermore, we prove that the proposed technique can scale up by studying the complicated raffinose trisaccharide, and therefore, we expect its wide adoption to characterize sugar structural features in solution.

Indexed as

Computational BiologyMolecular Dynamics SimulationOptical RotationSpectrum Analysis, RamanSugarsWaterSugarsWater

Identifiers

PMID35051172
PMCPMC8806073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.