Evidence map›Paper›PMID 29431438›Full record

ArticleJournal of chemical information and modeling2018

Applying Pose Clustering and MD Simulations To Eliminate False Positives in Molecular Docking.

Spandana Makeneni, David F Thieker, Robert J Woods

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
  8. Article
  9. Multi-Component Synthesis of New Fluorinated-Pyrrolo[3,4-International journal of molecular sciences · 2025
    Article
  10. Review
  11. Article
  12. In Vitro and Computational Response of Differential Catalysis byInternational journal of molecular sciences · 2024
    Article
  13. Article
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  15. Article
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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

3 authors.

Spandana MakeneniComplex Carbohydrate Research Center , University of Georgia , 315 Riverbend Road , Athens , Georgia 30602 , United States.
David F ThiekerComplex Carbohydrate Research Center , University of Georgia , 315 Riverbend Road , Athens , Georgia 30602 , United States.
Robert J WoodsComplex Carbohydrate Research Center , University of Georgia , 315 Riverbend Road , Athens , Georgia 30602 , United States.ORCID 0000-0002-2400-6293

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
Tools to enable non-specialists to model glycoconjugates and glycan-protein interactionsU01CA207824 · NCI · UNIVERSITY OF GEORGIA · PI FOLEY, B. LACHELE, WOODS, ROBERT J · 2016 to 2018
$1.7M
NCI NIH HHS U01 CA207824NIGMS NIH HHS P41 GM103390
6 · The paper itself

Abstract

In this work, we developed a computational protocol that employs multiple molecular docking experiments, followed by pose clustering, molecular dynamic simulations (10 ns), and energy rescoring to produce reliable 3D models of antibody-carbohydrate complexes. The protocol was applied to 10 antibody-carbohydrate co-complexes and three unliganded (apo) antibodies. Pose clustering significantly reduced the number of potential poses. For each system, 15 or fewer clusters out of 100 initial poses were generated and chosen for further analysis. Molecular dynamics (MD) simulations allowed the docked poses to either converge or disperse, and rescoring increased the likelihood that the best-ranked pose was an acceptable pose. This approach is amenable to automation and can be a valuable aid in determining the structure of antibody-carbohydrate complexes provided there is no major side chain rearrangement or backbone conformational change in the H3 loop of the CDR regions. Further, the basic protocol of docking a small ligand to a known binding site, clustering the results, and performing MD with a suitable force field is applicable to any protein ligand system.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationAnimalsAntibodiesBinding Sites, AntibodyCarbohydrate ConformationCarbohydratesCluster AnalysisDatabases, ProteinHumansLigandsProtein BindingProtein ConformationThermodynamicsAntibodiesCarbohydratesLigands

Identifiers

PMID29431438
PMCPMC6067002

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.