Evidence map›Paper›PMID 22090146›Full record

ReviewAnnals of biomedical engineering2012

Understanding glycomechanics using mathematical modeling: a review of current approaches to simulate cellular glycosylation reaction networks.

Apurv Puri, Sriram Neelamegham

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. A consensus-based and readable extension ofBeilstein journal of organic chemistry · 2020
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. 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

2 authors.

Apurv PuriDepartment of Chemical and Biological Engineering, and The New York State Center for Excellence in Bioinformatics and Life Sciences, State University of New York, 906 Furnas Hall, Buffalo, NY 14260, USA.
Sriram Neelamegham

Funding

REGULATION OF LACTOSAMINYL GLYCAN BIOSYNTHESIS IN HEMATOPOIETIC CELLSP01HL107146 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SACKSTEIN, ROBERT · 2011 to 2017
$17.7M
Systems Biology of GlycosylationR01HL103411 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2011 to 2025
$7.1M
SELECTIN MEDIATED CELL ADHESION UNDER HYDRODYNAMIC SHEARR01HL063014 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2001 to 2014
$3.0M
NHLBI NIH HHS HL103411NHLBI NIH HHS HL107146NHLBI NIH HHS P01 HL107146NHLBI NIH HHS R01 HL063014NHLBI NIH HHS R01 HL103411
6 · The paper itself

Abstract

Following the footsteps of genomics and proteomics, recent years have witnessed the growth of large-scale experimental methods in the field of glycomics. In parallel, there has also been growing interest in developing Systems Biology based methods to study the glycome. The combined goals of these endeavors is to identify glycosylation-dependent mechanisms regulating human physiology, check points that can control the progression of pathophysiology, and modifications to reaction pathways that can result in more uniform biopharmaceutical processes. In these efforts, mathematical models of N- and O-linked glycosylation have emerged as paradigms for the field. While these are relatively few in number, nevertheless, the existing models provide a basic framework that can be used to develop more sophisticated analysis strategies for glycosylation in the future. The current review surveys these computational models with focus on the underlying mathematics and assumptions, and with respect to their ability to generate experimentally testable hypotheses.

Indexed as

Models, BiologicalAnimalsCarbohydrate MetabolismGlycomicsGlycosylationHumans

Identifiers

PMID22090146
PMCPMC3311736

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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.