Evidence map›Paper›PMID 34133179›Full record

ArticleThe journal of physical chemistry. B2021

Development and Evaluation of GlycanDock: A Protein-Glycoligand Docking Refinement Algorithm in Rosetta.

Morgan L Nance, Jason W Labonte, Jared Adolf-Bryfogle, Jeffrey J Gray

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Predictions from deep learning propose substantial protein-carbohydrate interplay.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Computational Pipeline for Accelerating the Design of Glycomimetics.Journal of chemical information and modeling · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Modeling Protein-Glycan Interactions with HADDOCK.Journal of chemical information and modeling · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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 at 2 institutions in 1 country.

Morgan L NanceProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Jason W LabonteDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID https://orcid.org/0000-0002-2912-4985
Jared Adolf-BryfogleProtein Design Lab, Institute for Protein Innovation, Boston, Massachusetts 02115, United States.
Jeffrey J GrayProgram in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID https://orcid.org/0000-0001-6380-2324
Johns Hopkins University · USBoston Children's Hospital · US

Funding

Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
Technologies to predict and probe glycosyl transferR01GM127578 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2018 to 2020
$1.6M
NIGMS NIH HHS R01 GM078221NIGMS NIH HHS R01 GM127578
6 · The paper itself

Abstract

Carbohydrate chains are ubiquitous in the complex molecular processes of life. These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. High-resolution structures of protein-glycoligand complexes reveal the atomic details necessary to understand this level of molecular recognition and inform application-focused scientific and engineering pursuits. When experimental challenges hinder high-throughput determination of quality structures, computational tools can, in principle, fill the gap. In this work, we introduce

Identifiers

PMID34133179
PMCPMC8742512
OpenAlexW3168893368

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.