Evidence map›Paper›PMID 41918414›Full record

ArticleThe journal of physical chemistry. B2026

Atomistic Insights into Conformations and Solvation Dynamics of Amylose, Dextran, and Pullulan Using Three Force Fields.

Parisa Farzeen, Hu Young Yoon, Isabela Trindade Coutinho, Maren Roman, Robert Moore, Sanket A Deshmukh

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Parisa FarzeenDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Hu Young YoonMacromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0001-8841-4758
Isabela Trindade CoutinhoMacromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0003-3007-6797
Maren RomanMacromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0001-6622-8591
Robert MooreMacromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0001-9057-7695
Sanket A DeshmukhDepartment of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0001-7573-0057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics (MD) simulations of three α-glucans─amylose, dextran, and pullulan─were performed in explicit solvent to investigate how differences in their glycosidic linkages influence molecular conformation and solvation dynamics, and to assess the performance of three major force fields (FFs): CHARMM36, GLYCAM06, and OPLS-AA. Structural analysis revealed that amylose adopts a more extended and constrained conformation owing to its α-(1 → 4) linkages, whereas dextran and pullulan exhibit more collapsed structures. Differences in linkage chemistry also influenced the organization of surrounding water, with this effect more pronounced in CHARMM than in GLYCAM or OPLS. Dextran formed more stable hydrogen bonds with water than amylose or pullulan. Although glucan-water nonbonded interactions were energetically more favorable in GLYCAM and OPLS, these FFs also predicted stronger nonpolar interactions that promoted more compact glucan conformations. Overall, the results indicate that glucan-glucan interactions contribute comparably to glucan-water interactions in determining polysaccharide structure. These insights clarify molecular determinants of glucan solubility and hydration and provide a basis for designing glucan-based materials with tunable properties.

Indexed as

AmyloseDextransGlucansMolecular Dynamics SimulationCarbohydrate ConformationHydrogen BondingMolecular ConformationSolubilitySolventsWaterAmyloseDextransGlucanspullulanSolventsWater

Identifiers

PMID41918414
PMCPMC13093480

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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.