Evidence map›Paper›PMID 27568930›Full record

ArticleStructure (London, England : 1993)2016

Pushing the Backbone in Protein-Protein Docking.

Daisuke Kuroda, Jeffrey J Gray

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Flexible protein-protein docking with a multitrack iterative transformer.Protein science : a publication of the Protein Society · 2024
    Article
  3. Approaches to Backbone Flexibility in Protein-Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. IsAb: a computational protocol for antibody design.Briefings in bioinformatics · 2021
    Article
  9. Article
  10. Advances to tackle backbone flexibility in protein docking.Current opinion in structural biology · 2021
    Review
  11. Article
  12. PRosettaC: Rosetta Based Modeling of PROTAC Mediated Ternary Complexes.Journal of chemical information and modeling · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Daisuke KurodaDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Analytical and Physical Chemistry, Showa University School of Pharmacy, Tokyo 142-8555, Japan.
Jeffrey J GrayDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA. Electronic address: jgray@jhu.edu.

Funding

Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
NIGMS NIH HHS R01 GM078221
6 · The paper itself

Abstract

Conformational changes of proteins that occur upon binding typically confound computational docking algorithms. In this study, we test computational methods to capture protein backbone conformational change related to binding. To address how well existing algorithms can sample bound-like backbones, we query seven techniques including Monte Carlo-based sampling, molecular dynamics, and normal mode analysis. All methods tested rarely sample near-bound states from the unbound conformation. Nevertheless, the direction of the predicted motions overlap with the actual conformational change. We next forced the backbone from the unbound toward the bound conformation to create a family of docking energy landscapes. Seventy percent of docking targets succeed when the unbound backbones is pushed to within 0.6 Å of the bound. Current methods can capture an average of 22% of unbound-bound transitions through conformer selection methods and another 57% through induced-fit methodologies, delineating a stubborn gap (21%) in backbone motion not covered by any current approach.

Indexed as

AlgorithmsDatabases, ProteinModels, MolecularMolecular Docking SimulationProtein BindingProtein ConformationProtein Interaction MappingProteinsThermodynamicsProteinsbackbone flexibilityconformer selectioninduced-fitmolecular recognitionprotein-protein docking

Identifiers

PMID27568930
PMCPMC5069389

What OpenQuestion holds

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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.