Evidence map›Paper›PMID 34342983›Full record

ArticleJournal of chemical theory and computation2021

Native or Non-Native Protein-Protein Docking Models? Molecular Dynamics to the Rescue.

Zuzana Jandova, Attilio Vittorio Vargiu, Alexandre M J J Bonvin

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  3. Accurate site-specific folding via conditional diffusion based on AlphaFold3.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  6. Current issues in molecular biology · 2025
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  9. Unlocking the potential ofFrontiers in bioinformatics · 2025
    Review
  10. Exploring Placental Protein-Target Protein Interactions:Current protein & peptide science · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Molecular Dynamics and Other HPC Simulations for Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  17. Article
  18. Article
  19. Computer aided drug design in the development of proteolysis targeting chimeras.Computational and structural biotechnology journal · 2023
    Review
  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

3 authors.

Zuzana JandovaComputational Structural Biology Group, Bijvoet Centre for Biomolecular Research, Faculty of Science-Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.
Attilio Vittorio VargiuPhysics Department, University of Cagliari, Cittadella Universitaria, S.P. 8 km 0.700, 09042 Monserrato, Italy.
Alexandre M J J BonvinComputational Structural Biology Group, Bijvoet Centre for Biomolecular Research, Faculty of Science-Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.ORCID https://orcid.org/0000-0001-7369-1322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular docking excels at creating a plethora of potential models of protein-protein complexes. To correctly distinguish the favorable, native-like models from the remaining ones remains, however, a challenge. We assessed here if a protocol based on molecular dynamics (MD) simulations would allow distinguishing native from non-native models to complement scoring functions used in docking. To this end, the first models for 25 protein-protein complexes were generated using HADDOCK. Next, MD simulations complemented with machine learning were used to discriminate between native and non-native complexes based on a combination of metrics reporting on the stability of the initial models. Native models showed higher stability in almost all measured properties, including the key ones used for scoring in the Critical Assessment of PRedicted Interaction (CAPRI) competition, namely the positional root mean square deviations and fraction of native contacts from the initial docked model. A random forest classifier was trained, reaching a 0.85 accuracy in correctly distinguishing native from non-native complexes. Reasonably modest simulation lengths of the order of 50-100 ns are sufficient to reach this accuracy, which makes this approach applicable in practice.

Indexed as

AlgorithmsMachine LearningMolecular Docking SimulationProtein Interaction MappingProteinsProteins

Identifiers

PMID34342983
PMCPMC8444332

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.