ArticleScientific reports2012
Short Co-occurring Polypeptide Regions Can Predict Global Protein Interaction Maps.
Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Developing an artificial intelligence-generated peptide targeting platelet-type von Willebrand disease.Blood advances · 2026Article
- Investigating the Activities ofBiology · 2024Article
- Review
- Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human-Coronavirus Family Interactome.Vaccines · 2023Article
- Recent developments of sequence-based prediction of protein-protein interactions.Biophysical reviews · 2022Review
- A computational approach to rapidly design peptides that detect SARS-CoV-2 surface protein S.NAR genomics and bioinformatics · 2022Article
- Multi-schema computational prediction of the comprehensive SARS-CoV-2 vs. human interactome.PeerJ · 2021Article
- Using discriminative vector machine model with 2DPCA to predict interactions among proteins.BMC bioinformatics · 2019Article
- In Silico Engineering of Synthetic Binding Proteins from Random Amino Acid Sequences.iScience · 2019Article
- Predicting protein-protein interactions through sequence-based deep learning.Bioinformatics (Oxford, England) · 2018Article
- Reciprocal Perspective for Improved Protein-Protein Interaction Prediction.Scientific reports · 2018Article
- ProfPPIdb: Pairs of physical protein-protein interactions predicted for entire proteomes.PloS one · 2018Article
- Unbiased Protein Association Study on the Public Human Proteome Reveals Biological Connections between Co-Occurring Protein Pairs.Journal of proteome research · 2017Article
- Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Evolution of protein-protein interaction networks in yeast.PloS one · 2017Article
- A framework for improving microRNA prediction in non-human genomes.Nucleic acids research · 2015Article
- A highly efficient approach to protein interactome mapping based on collaborative filtering framework.Scientific reports · 2015Article
- Article
- Efficient prediction of human protein-protein interactions at a global scale.BMC bioinformatics · 2014Article
- Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.BMC bioinformatics · 2014Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A goal of the post-genomics era has been to elucidate a detailed global map of protein-protein interactions (PPIs) within a cell. Here, we show that the presence of co-occurring short polypeptide sequences between interacting protein partners appears to be conserved across different organisms. We present an algorithm to automatically generate PPI prediction method parameters for various organisms and illustrate that global PPIs can be predicted from previously reported PPIs within the same or a different organism using protein primary sequences. The PPI prediction code is further accelerated through the use of parallel multi-core programming, which improves its usability for large scale or proteome-wide PPI prediction. We predict and analyze hundreds of novel human PPIs, experimentally confirm protein functions and importantly predict the first genome-wide PPI maps for S. pombe (∼9,000 PPIs) and C. elegans (∼37,500 PPIs).
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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.