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• W4249377513 abstract "<p>The conformational flexibility of the glycosaminoglycans (GAGs) are known to be key in their binding and biological function, for example in regulating coagulation and cell growth. In this work, we employ enhanced sampling molecular dynamics simulations to probe the ring conformations of GAG-related monosaccharides, including a range of acetylated and sulfated GAG residues. We first perform unbiased MD simulations of glucose anomers and the epimers glucoronate and iduronate. These calculations indicate that in some cases, an excess of 15 microseconds are required for adequate sampling of ring pucker due to the high energy barriers between states. However, by applying our recently developed msesMD simulation method (multidimensional swarm enhanced sampling molecular dynamics), we were able to quantitatively and rapidly reproduce these ring pucker landscapes. From msesMD simulations, the puckering free energy profiles were then compared for eleven monosaccharides found in GAGs; this includes to our knowledge the first simulation study of sulfation effects on GalNAc ring puckering. For the force field employed, we find that in general the calculated pucker free energy profiles for sulfated sugars were similar to the corresponding unsulfated profiles. This accords with recent experimental studies suggesting that variation in ring pucker of sulfated GAG residues is primarily dictated by interactions with surrounding residues rather than by intrinsic conformational preference. As an exception to this, however, we predict that 4-O-sulfation of GalNAc leads to reduced ring rigidity, with a significant lowering in energy of the ¹C₄ ring conformation; this observation may have implications for understanding the structural basis of the biological function of GalNAc-containing glycosaminoglycans such as dermatan sulfate.</p>" @default.
• W4249377513 created "2022-05-12" @default.
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• W4249377513 date "2019-07-01" @default.
• W4249377513 modified "2023-09-24" @default.
• W4249377513 title "Ring Puckering Landscapes of Glycosaminoglycan-Related Monosaccharides from Molecular Dynamics Simulations" @default.
• W4249377513 doi "https://doi.org/10.26434/chemrxiv.8345942.v1" @default.
• W4249377513 hasPublicationYear "2019" @default.
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