Evidence map›Paper›PMID 24974889›Full record

ArticleJournal of chemical information and modeling2014

Docking server for the identification of heparin binding sites on proteins.

Scott E Mottarella, Dmitri Beglov, Natalia Beglova, Matthew A Nugent, Dima Kozakov, Sandor Vajda

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

42 citing papers in PubMed, 78 citations in OpenAlex.

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  9. Modeling Protein-Glycan Interactions with HADDOCK.Journal of chemical information and modeling · 2024
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  14. Solvent Model Benchmark for Molecular Dynamics of Glycosaminoglycans.Journal of chemical information and modeling · 2023
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  17. Review
  18. Computer-Aided Multi-Epitope Vaccine Design againstInternational journal of environmental research and public health · 2022
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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

6 authors at 2 institutions in 1 country.

Scott E MottarellaProgram in Bioinformatics and ‡Department of Biomedical Engineering, Boston University , 44 Cummington Street, Boston, Massachusetts 02215, United States.
Dmitri Beglov
Natalia Beglova
Matthew A Nugent
Dima Kozakov
Sandor Vajda
Harvard University · USUniversity of Massachusetts Lowell · US

Funding

Computational mapping of proteins for the binding of ligandsR01GM064700 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2003 to 2015
$4.3M
A MULTISTAGE APPROACH TO PROTEIN-PROTEIN DOCKINGR01GM061867 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2000 to 2016
$4.0M
Investigation of Beta2-glycoprotein I Complexes in Antiphospholipid SyndromeR01HL096693 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BEGLOVA, NATALIA · 2011 to 2015
$2.1M
Refinement Methods for Protein Docking based on Exploring Multi-Dimensional EnergR01GM093147 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KOZAKOV, DMYTRO, PASCHALIDIS, IOANNIS · 2011 to 2014
$1.2M
NHLBI NIH HHS HL096693NHLBI NIH HHS R01 HL096693NIGMS NIH HHS GM061867NIGMS NIH HHS GM093147NIGMS NIH HHS R01 GM061867NIGMS NIH HHS R01 GM064700NIGMS NIH HHS R01 GM093147
6 · The paper itself

Abstract

Many proteins of widely differing functionality and structure are capable of binding heparin and heparan sulfate. Since crystallizing protein-heparin complexes for structure determination is generally difficult, computational docking can be a useful approach for understanding specific interactions. Previous studies used programs originally developed for docking small molecules to well-defined pockets, rather than for docking polysaccharides to highly charged shallow crevices that usually bind heparin. We have extended the program PIPER and the automated protein-protein docking server ClusPro to heparin docking. Using a molecular mechanics energy function for scoring and the fast Fourier transform correlation approach, the method generates and evaluates close to a billion poses of a heparin tetrasaccharide probe. The docked structures are clustered using pairwise root-mean-square deviations as the distance measure. It was shown that clustering of heparin molecules close to each other but having different orientations and selecting the clusters with the highest protein-ligand contacts reliably predicts the heparin binding site. In addition, the centers of the five most populated clusters include structures close to the native orientation of the heparin. These structures can provide starting points for further refinement by methods that account for flexibility such as molecular dynamics. The heparin docking method is available as an advanced option of the ClusPro server at http://cluspro.bu.edu/ .

Indexed as

Molecular Docking SimulationBinding SitesHeparan SulfateHeparinHumansMonte Carlo MethodProtein ConformationProteinsSolventsHeparan SulfateHeparinProteinsSolvents

Identifiers

PMID24974889
PMCPMC4184157
OpenAlexW2145369603

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.