Evidence map›Paper›PMID 41081568›Full record

ArticleProtein science : a publication of the Protein Society2025

Increasing the fraction of correct solutions in ensembles of protein-protein docking models by an iterative consensus algorithm.

Tiziana Ricciardelli, Didier Barradas-Bautista, Zhen Cao, Mohit Chawla, Luigi Cavallo, Romina Oliva

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Tiziana RicciardelliPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Didier Barradas-BautistaKAUST Visualization Lab, Core Lab Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Zhen CaoPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Mohit ChawlaPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Luigi CavalloPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID 0000-0002-1398-338X
Romina OlivaDepartment of Sciences and Technologies, University of Naples "Parthenope", Naples, Italy.

Funding

KAUST REI/1/5246-02-01KAUST URF/1/5577-01-01Ministero dell'Università e della Ricerca 2022HREZJT
6 · The paper itself

Abstract

Protein-protein interactions play a pivotal role in numerous biological processes, making their structural prediction essential for molecular biology and medicine. Computational docking methods generate ensembles of models for protein complexes, but identifying correct solutions within these ensembles remains a challenge. This study introduces Iter-CONSRANK, an iterative consensus-based scoring algorithm designed to enrich the fraction of correct models in such ensembles. Building on the established CONSRANK algorithm, Iter-CONSRANK incorporates iterative filtering to progressively discard lower-ranked models based on inter-residue contact conservation, thus refining the ensemble. Performance evaluation using the 3K-BM5up dataset (~1.6 × 10

Indexed as

AlgorithmsMolecular Docking SimulationProteinsDatabases, ProteinSoftwareProteinsCOCOMAPSconsensusdocking decoysdocking modelsiterationpredictionranking

Identifiers

PMID41081568
PMCPMC12516918

What OpenQuestion holds

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Registered trials

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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.