ReviewCurrent genomics2020
Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction.
Review in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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
16 citing papers in PubMed.
- Accessibility in proteins and RNAs interactions prediction with machine learning: are we overlooking non-experts?Briefings in bioinformatics · 2026Review
- Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces.Computational and structural biotechnology journal · 2024Article
- Protein features fusion using attributed network embedding for predicting protein-protein interaction.BMC genomics · 2024Article
- Cracking the black box of deep sequence-based protein-protein interaction prediction.Briefings in bioinformatics · 2024Article
- Pathogen-driven cancers from a structural perspective: Targeting host-pathogen protein-protein interactions.Frontiers in oncology · 2023Review
- Decoding the protein-ligand interactions using parallel graph neural networks.Scientific reports · 2022Article
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.Scientific reports · 2022Article
- Hierarchical representation for PPI sites prediction.BMC bioinformatics · 2022Article
- Prediction of serine phosphorylation sites mapping on Schizosaccharomyces Pombe by fusing three encoding schemes with the random forest classifier.Scientific reports · 2022Article
- A Bioinformatic Approach Based on Systems Biology to Determine the Effects of SARS-CoV-2 Infection in Patients with Hypertrophic Cardiomyopathy.Computational and mathematical methods in medicine · 2022Article
- LSTM-PHV: prediction of human-virus protein-protein interactions by LSTM with word2vec.Briefings in bioinformatics · 2021Article
- PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features.International journal of molecular sciences · 2021Article
- PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations.International journal of molecular sciences · 2021Article
- ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations.Journal of computer-aided molecular design · 2020Article
- Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions (PPIs) are the physical connections between two or more proteins
Indexed as
Identifiers
What Socratic 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 Socratic graph.