Evidence map›Paper›PMID 28582506›Full record

ArticleBioinformatics (Oxford, England)2017

Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank.

Sang-Jun Park, Jumin Lee, Dhilon S Patel, Hongjing Ma, Hui Sun Lee, Sunhwan Jo, Wonpil Im

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

80 citing papers in PubMed, 155 citations in OpenAlex.

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  4. A pore-facing glycan constrains GABACommunications biology · 2026
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  8. A Coarse-Grained MARTINI Model for Mucins.Journal of chemical theory and computation · 2026
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  13. Conformational Variability of HIV-1 Env Trimer and Viral Vulnerability.bioRxiv : the preprint server for biology · 2025
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20 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

7 authors at 2 institutions in 1 country.

Sang-Jun ParkDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, PA, USA.
Jumin LeeDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, PA, USA.
Dhilon S PatelDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, PA, USA.
Hongjing MaDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, PA, USA.
Hui Sun LeeDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, PA, USA.
Sunhwan JoLeadership Computing Facility, Argonne National Laboratory, Argonne, IL, USA.
Wonpil ImDepartment of Biological Sciences and Bioengineering Program, Lehigh University, Bethlehem, PA, USA.
Lehigh University · USArgonne National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationGlycans play a central role in many essential biological processes. Glycan Reader was originally developed to simplify the reading of Protein Data Bank (PDB) files containing glycans through the automatic detection and annotation of sugars and glycosidic linkages between sugar units and to proteins, all based on atomic coordinates and connectivity information. Carbohydrates can have various chemical modifications at different positions, making their chemical space much diverse. Unfortunately, current PDB files do not provide exact annotations for most carbohydrate derivatives and more than 50% of PDB glycan chains have at least one carbohydrate derivative that could not be correctly recognized by the original Glycan Reader.

resultsGlycan Reader has been improved and now identifies most sugar types and chemical modifications (including various glycolipids) in the PDB, and both PDB and PDBx/mmCIF formats are supported. CHARMM-GUI Glycan Reader is updated to generate the simulation system and input of various glycoconjugates with most sugar types and chemical modifications. It also offers a new functionality to edit the glycan structures through addition/deletion/modification of glycosylation types, sugar types, chemical modifications, glycosidic linkages, and anomeric states. The simulation system and input files can be used for CHARMM, NAMD, GROMACS, AMBER, GENESIS, LAMMPS, Desmond, OpenMM, and CHARMM/OpenMM. Glycan Fragment Database in GlycanStructure.Org is also updated to provide an intuitive glycan sequence search tool for complex glycan structures with various chemical modifications in the PDB. AVAILABILITY AND IMPLEMENTATION: http://www.charmm-gui.org/input/glycan and http://www.glycanstructure.org. CONTACT: wonpil@lehigh.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Databases, ProteinCarbohydratesGlycoproteinsPolysaccharidesSugarsCarbohydratesGlycoproteinsPolysaccharidesSugars

Identifiers

PMID28582506
PMCPMC5870669
OpenAlexW2623296956

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.