Evidence map›Paper›PMID 32080710›Full record

ArticleGlycobiology2020

Rigorous analysis of free solution glycosaminoglycan dynamics using simple, new tools.

Balaji Nagarajan, Nehru Viji Sankaranarayanan, Umesh R Desai

Open access · greenAbstract read
In one paragraph

Article in Glycobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 29% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Solvent Model Benchmark for Molecular Dynamics of Glycosaminoglycans.Journal of chemical information and modeling · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 3-Computational and structural biotechnology journal · 2022
    Article
  10. Article
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

3 authors at 1 institution in 1 country.

Balaji NagarajanInstitute for Structural Biology, Drug Discovery and Development, 800 E. Leigh Street, Suite 212, Richmond, VA 23219, USA.
Nehru Viji SankaranarayananInstitute for Structural Biology, Drug Discovery and Development, 800 E. Leigh Street, Suite 212, Richmond, VA 23219, USA.
Umesh R DesaiInstitute for Structural Biology, Drug Discovery and Development, 800 E. Leigh Street, Suite 212, Richmond, VA 23219, USA.
Virginia BioTechnology Research Park · US

Funding

Therapeutic assessment of synthetic heparin sulfates in transplantation modelsP01HL107152 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI DESAI, UMESH RAMANLAL · 2011 to 2017
$15.8M
Dual Direct Inhibitors of Thrombin and Factor XaR01HL090586 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI DESAI, UMESH RAMANLAL · 2009 to 2018
$3.9M
Advanced Skills Development in Glyco-Hematology and Glyco-OncologyR25HL128639 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI DESAI, UMESH RAMANLAL · 2015 to 2019
$613k
High Performance Computing Cluster for Biomedical Research at VCUS10RR027411 · NCRR · VIRGINIA COMMONWEALTH UNIVERSITY · PI CUI, MENG · 2010 to 2010
$417k
NCRR NIH HHS S10 RR027411NHLBI NIH HHS P01 HL107152NHLBI NIH HHS R01 HL090586NHLBI NIH HHS R25 HL128639
6 · The paper itself

Abstract

Heparin/heparan sulfates (H/HS) are ubiquitous biopolymers that interact with many proteins to induce a range of biological functions. Unfortunately, how these biopolymers recognize their preferred protein targets remain poorly understood. It is suggested that computational simulations offer attractive avenues but a number of challenges, e.g., difficulty of selecting a comprehensive force field, few simple tools to interpret data, among others, remain. This work addresses several such challenges so as to help ease the implementation and analysis of computational experiments. First, this work presents a rigorous comparison of two different recent force fields, CHARMM36 and GLYCAM06, for H/HS studies. Second, it introduces two new straightforward parameters, i.e., end-to-end distance and minimum volume enclosing ellipsoid, to understand the myriad conformational forms of oligosaccharides that evolve over time in water. Third, it presents an application to elucidate the number and nature of inter and intramolecular, nondirect bridging water molecules, which help stabilize unique forms of H/HS. The results show that nonspecialists can use either CHARMM36 or GLYCAM06 force fields because both gave comparable results, albeit with small differences. The comparative study shows that the HS hexasaccharide samples a range of conformations with nearly equivalent energies, which could be the reason for its recognition by different proteins. Finally, analysis of the nondirect water bridges across the dynamics trajectory shows their importance in stabilization of certain conformational forms, which may become important for protein recognition. Overall, the work aids nonspecialists employ computational studies for understanding the solution behavior of H/HS.

Indexed as

Molecular Dynamics SimulationCarbohydrate ConformationGlycosaminoglycansGlycosaminoglycanscarbohydratesconformational analysisenergy landscapeheparan sulfatemolecular dynamics

Identifiers

PMID32080710
PMCPMC8179626
OpenAlexW3008867420

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.