Evidence map›Paper›PMID 35306321›Full record

ReviewCurrent opinion in structural biology2022

Molecular dynamics simulations to understand glycosaminoglycan interactions in the free- and protein-bound states.

Balaji Nagarajan, Samuel G Holmes, Nehru Viji Sankaranarayanan, Umesh R Desai

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Coarse-Grained Martini 3 Model of Chondroitin Sulfate A.Journal of chemical theory and computation · 2026
    Article
  5. Review
  6. Profiling and cheminformatics bioprospection of curcurbitacin I and momordin Ic fromJournal of enzyme inhibition and medicinal chemistry · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Solvent Model Benchmark for Molecular Dynamics of Glycosaminoglycans.Journal of chemical information and modeling · 2023
    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

4 authors.

Balaji NagarajanDepartment of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, USA.
Samuel G HolmesDepartment of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, USA.
Nehru Viji SankaranarayananDepartment of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, USA.
Umesh R DesaiDepartment of Medicinal Chemistry, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA; Institute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, VA 23219, USA. Electronic address: urdesai@vcu.edu.

Funding

Therapeutic assessment of synthetic heparin sulfates in transplantation modelsP01HL107152 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI DESAI, UMESH RAMANLAL · 2011 to 2017
$15.8M
Project 3: Role of Glycosaminoglycans in HematopoiesisP01HL151333 · NHLBI · VERSITI WISCONSIN, INC. · PI HOFFMEISTER, KARIN MARIA · 2021 to 2025
$12.3M
Glycans in Blood Homeostasis and DiseaseK12HL141954 · NHLBI · VERSITI WISCONSIN, INC. · PI DAHMS, NANCY M., DESAI, UMESH RAMANLAL · 2018 to 2022
$4.9M
Tool for Predicting Glycosaminoglycan Recognition of ProteinsU01CA241951 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI DESAI, UMESH RAMANLAL · 2019 to 2021
$991k
High Performance Computing Cluster for Biomedical Research at VCUS10RR027411 · NCRR · VIRGINIA COMMONWEALTH UNIVERSITY · PI CUI, MENG · 2010 to 2010
$417k
NCI NIH HHS U01 CA241951NCRR NIH HHS S10 RR027411NHLBI NIH HHS K12 HL141954NHLBI NIH HHS P01 HL107152NHLBI NIH HHS P01 HL151333
6 · The paper itself

Abstract

Natural glycosaminoglycans (GAGs) are informational molecules with astounding structural diversity. Understanding the behavior of GAGs in the free and protein-bound states is critical for harnessing this diversity. Molecular dynamics (MD) offers atomistic insight into principles governing GAG recognition by proteins. Here, we discuss how MD can be used to understand local and global properties of GAGs in free solution, including torsions, puckering, hydrogen bonding, flexibility, and energetics. We discuss MD studies on GAG-protein complexes, which help elucidate the strength of interacting residues, role of water, energetics, and so on. The MD results accumulated so far suggest that GAG recognition of proteins is a continuum from the highly selective on one end to the fully non-selective on the other with intermediate levels of selectivity, including moderately selective and plastic. The advancements in MD technology, such as coarse-grained MD, coupled with really long simulations will help understand macroscale molecular movements in the future.

Indexed as

GlycosaminoglycansMolecular Dynamics SimulationHydrogen BondingProteinsGlycosaminoglycansProteins

Identifiers

PMID35306321
PMCPMC9189024

What OpenQuestion holds

Textmetadata
LicenceTDM
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.