ReviewComputational and structural biotechnology journal2022
Deep learning frameworks for protein-protein interaction prediction.
Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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.
Who cites it
23 citing papers in PubMed, 56 citations in OpenAlex.
- Accessibility in proteins and RNAs interactions prediction with machine learning: are we overlooking non-experts?Briefings in bioinformatics · 2026Review
- Machine Learning Methods for Protein-Protein Interaction Prediction Based on Noncovalent Interactions.ACS omega · 2026Article
- Review
- Alphappimi: a comprehensive deep learning framework for predicting PPI-modulator interactions.Journal of cheminformatics · 2025Article
- Unravelling the human taste receptor interactome: machine learning and molecular modelling insights into protein-protein interactions.NPJ science of food · 2025Article
- RBM14 enhances transcriptional activity of p23 regulating CXCL1 expression to induce lung cancer metastasis.Acta pharmaceutica Sinica. B · 2025Article
- An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction.Computational and structural biotechnology journal · 2025Article
- Protein-Protein Interfaces: A Graph Neural Network Approach.International journal of molecular sciences · 2024Article
- Leveraging machine learning models for peptide-protein interaction prediction.RSC chemical biology · 2024Review
- A multi-source molecular network representation model for protein-protein interactions prediction.Scientific reports · 2024Article
- Article
- Prediction of Human Papillomavirus-Host Oncoprotein Interactions Using Deep Learning.Bioinformatics and biology insights · 2024Article
- Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design.ACS catalysis · 2023Review
- In vitro and in silico prediction of antibacterial interaction between essential oils via graph embedding approach.Scientific reports · 2023Article
- Using machine learning to predict protein-protein interactions between a zombie ant fungus and its carpenter ant host.Scientific reports · 2023Article
- Identification of novel interacts partners of ADAR1 enzyme mediating the oncogenic process in aggressive breast cancer.Scientific reports · 2023Article
- Computational prediction of disordered binding regions.Computational and structural biotechnology journal · 2023Review
- ProtInteract: A deep learning framework for predicting protein-protein interactions.Computational and structural biotechnology journal · 2023Article
- Bioinformatics approaches for unveiling virus-host interactions.Computational and structural biotechnology journal · 2023Review
- Recent developments of sequence-based prediction of protein-protein interactions.Biophysical reviews · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes. The disorder of PPIs often causes various physical and mental diseases, which makes PPIs become the focus of the research on disease mechanism and clinical treatment. Since a large number of PPIs have been identified by
Indexed as
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.