2017
DOI: 10.1093/bioinformatics/btx696
|View full text |Cite
|
Sign up to set email alerts
|

GRASS: semi-automated NMR-based structure elucidation of saccharides

Abstract: Supplementary data are available at Bioinformatics online.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
11
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
10

Relationship

2
8

Authors

Journals

citations
Cited by 32 publications
(11 citation statements)
references
References 24 publications
0
11
0
Order By: Relevance
“…The 13 C NMR chemical shifts were analyzed and compared to published values by GODDESS (Kapaev and Toukach, 2016) and GRASS NMR (Kapaev and Toukach, 2018) simulation, and structure elucidation web services were implemented at the platform of the Carbohydrate Structure Database (Toukach and Egorova, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The 13 C NMR chemical shifts were analyzed and compared to published values by GODDESS (Kapaev and Toukach, 2016) and GRASS NMR (Kapaev and Toukach, 2018) simulation, and structure elucidation web services were implemented at the platform of the Carbohydrate Structure Database (Toukach and Egorova, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The 13 C NMR spectrum of the native polysaccharide ( Fig 7 ) contained six major signals accounting for a regular glycopolymer, including one anomeric carbon at δ 105.45, two CH 2 OH groups, three sugar ring carbon signals typical for a furanose cycle, and minor signals (<10%). The preliminary interpretation of 13 C NMR chemical shifts by GRASS (Generation, Ranking and Assignment of Saccharide Structures) [ 66 ] hosted at the Carbohydrate Structure Database [ 67 ] yielded only one match, namely polymeric 2,6-linked β-D-fructofuranose (levan), with linear correlation (LC) between the simulation and the experiment of 1.000, and root-mean-square deviation (RMS) of 0.49 ppm. The next-ranked structural hypothesis had a much worse fit to the experiment (LC 0.994, RMS 1.18 ppm).…”
Section: Resultsmentioning
confidence: 99%
“…The SEM analysis investigated the morphological nature of EPS from B. amyloliquefaciens ( Figure 8 ). The dense, porous and irregular design of EPS is discovered by the SEM study, used as a textured, thickening and stabilising agent to enhance water power and viscosity by the formulation of the matrix consistent with a hydrated polymer [ 79 , 80 ]. The porous nature of EPS has also been reported in the surface morphology and the elemental composition of EPS made from S. thermophiles [ 81 ].…”
Section: Resultsmentioning
confidence: 99%