Evidence map›Paper›PMID 26744922›Full record

ArticleJournal of chemical theory and computation2016

Vina-Carb: Improving Glycosidic Angles during Carbohydrate Docking.

Anita K Nivedha, David F Thieker, Spandana Makeneni, Huimin Hu, Robert J Woods

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Trial
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  5. Review
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  7. Article
  8. Article
  9. Computational Pipeline for Accelerating the Design of Glycomimetics.Journal of chemical information and modeling · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Modeling Protein-Glycan Interactions with HADDOCK.Journal of chemical information and modeling · 2024
    Article
  18. Article
  19. Article
  20. Heliyon · 2024
    Article

10 more citing papers are in PubMed but not listed here.

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

5 authors.

Anita K NivedhaComplex Carbohydrate Research Center, University of Georgia , Athens, Georgia 30602, United States.
David F ThiekerComplex Carbohydrate Research Center, University of Georgia , Athens, Georgia 30602, United States.
Spandana MakeneniComplex Carbohydrate Research Center, University of Georgia , Athens, Georgia 30602, United States.
Huimin HuComplex Carbohydrate Research Center, University of Georgia , Athens, Georgia 30602, United States.
Robert J WoodsComplex Carbohydrate Research Center, University of Georgia , Athens, Georgia 30602, United States.

Funding

TR&D3. Approaches to Proteoglycan Function at Biochemical and Cellular LevelsP41GM103390 · NIGMS · UNIVERSITY OF GEORGIA · PI MOREMEN, KELLEY W. · 2012 to 2019
$14.5M
Integrating Experiment and Theory to Characterize Diagnostic Antibody SpecificityR01GM094919 · NIGMS · UNIVERSITY OF GEORGIA · PI WOODS, ROBERT J · 2010 to 2013
$1.7M
Continued Development and Maintenance of GLYCAM-WebR01GM100058 · NIGMS · UNIVERSITY OF GEORGIA · PI FOLEY, B. LACHELE, WOODS, ROBERT J · 2012 to 2015
$1.1M
NIGMS NIH HHS GM094919NIGMS NIH HHS P41 GM103390NIGMS NIH HHS R01 GM094919NIGMS NIH HHS R01 GM100058
6 · The paper itself

Abstract

Molecular docking programs are primarily designed to align rigid, drug-like fragments into the binding sites of macromolecules and frequently display poor performance when applied to flexible carbohydrate molecules. A critical source of flexibility within an oligosaccharide is the glycosidic linkages. Recently, Carbohydrate Intrinsic (CHI) energy functions were reported that attempt to quantify the glycosidic torsion angle preferences. In the present work, the CHI-energy functions have been incorporated into the AutoDock Vina (ADV) scoring function, subsequently termed Vina-Carb (VC). Two user-adjustable parameters have been introduced, namely, a CHI- energy weight term (chi_coeff) that affects the magnitude of the CHI-energy penalty and a CHI-cutoff term (chi_cutoff) that negates CHI-energy penalties below a specified value. A data set consisting of 101 protein-carbohydrate complexes and 29 apoprotein structures was used in the development and testing of VC, including antibodies, lectins, and carbohydrate binding modules. Accounting for the intramolecular energies of the glycosidic linkages in the oligosaccharides during docking led VC to produce acceptable structures within the top five ranked poses in 74% of the systems tested, compared to a success rate of 55% for ADV. An enzyme system was employed in order to illustrate the potential application of VC to proteins that may distort glycosidic linkages of carbohydrate ligands upon binding. VC represents a significant step toward accurately predicting the structures of protein-carbohydrate complexes. Furthermore, the described approach is conceptually applicable to any class of ligands that populate well-defined conformational states.

Indexed as

Binding SitesCarbohydratesCellulaseLigandsMolecular Docking SimulationProtein BindingProteinsThermodynamicsCarbohydratesCellulaseLigandsProteins

Identifiers

PMID26744922
PMCPMC5140039

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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.