ArticleBioinformatics advances2022
A random forest classifier for protein-protein docking models.
Article in Bioinformatics advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Increasing the fraction of correct solutions in ensembles of protein-protein docking models by an iterative consensus algorithm.Protein science : a publication of the Protein Society · 2025Article
- SProtFP: a machine learning-based method for functional classification of small ORFs in prokaryotes.NAR genomics and bioinformatics · 2025Article
- An Ensemble Classifiers for Improved Prediction of Native-Non-Native Protein-Protein Interaction.International journal of molecular sciences · 2024Article
- A Survey of Deep Learning Methods for Estimating the Accuracy of Protein Quaternary Structure Models.Biomolecules · 2024Review
- Anticancer Peptides Derived from Aldolase A and Induced Tumor-Suppressing Cells Inhibit Pancreatic Ductal Adenocarcinoma Cells.Pharmaceutics · 2023Article
- Discriminating physiological from non-physiological interfaces in structures of protein complexes: A community-wide study.Proteomics · 2023Article
- Exploration of mBMC bioinformatics · 2023Article
- Anticancer peptides from induced tumor-suppressing cells for inhibiting osteosarcoma cells.American journal of cancer research · 2023Article
- Improving classification of correct and incorrect protein-protein docking models by augmenting the training set.Bioinformatics advances · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Herein, we present the results of a machine learning approach we developed to single out correct 3D docking models of protein-protein complexes obtained by popular docking software. To this aim, we generated Supplementary information: Supplementary data are available at Software and data availability statement: The docking models are available at https://doi.org/10.5281/zenodo.4012018. The programs underlying this article will be shared on request to the corresponding authors.
Identifiers
What OpenQuestion holds
Registered trials
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.