ArticleNucleic acids research2010
The Negatome database: a reference set of non-interacting protein pairs.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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52 citing papers in PubMed.
- A robust framework for protein-protein interaction prediction with multi-objective ensemble learning and embedding-based representations.Scientific reports · 2026Article
- Sequence-Based Protein-Protein Interaction Prediction and Its Applications in Drug Discovery.Cells · 2025Review
- Review and Comparative Analysis of Methods and Advancements in Predicting Protein Complex Structure.Interdisciplinary sciences, computational life sciences · 2024Review
- Graph-BERT and language model-based framework for protein-protein interaction identification.Scientific reports · 2023Article
- A Yeast BiFC-seq Method for Genome-wide Interactome Mapping.Genomics, proteomics & bioinformatics · 2022Article
- Protein-protein interaction and non-interaction predictions using gene sequence natural vector.Communications biology · 2022Article
- Prediction of protein-protein interaction using graph neural networks.Scientific reports · 2022Article
- NETME: on-the-fly knowledge network construction from biomedical literature.Applied network science · 2022Article
- Deep learning frameworks for protein-protein interaction prediction.Computational and structural biotechnology journal · 2022Review
- Classification and prediction of protein-protein interaction interface using machine learning algorithm.Scientific reports · 2021Article
- Getting to know each other: PPIMem, a novel approach for predicting transmembrane protein-protein complexes.Computational and structural biotechnology journal · 2021Article
- Co-evolutionary landscape at the interface and non-interface regions of protein-protein interaction complexes.Computational and structural biotechnology journal · 2021Article
- Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.Scientific reports · 2020Article
- Using Random Forest Model Combined With Gabor Feature to Predict Protein-Protein Interaction From Protein Sequence.Evolutionary bioinformatics online · 2020Article
- Article
- Generation of a versatile BiFC ORFeome library for analyzing protein-protein interactions in liveeLife · 2018Article
- Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.Bioinformatics (Oxford, England) · 2018Article
- ProfPPIdb: Pairs of physical protein-protein interactions predicted for entire proteomes.PloS one · 2018Article
- Sequence-based prediction of protein protein interaction using a deep-learning algorithm.BMC bioinformatics · 2017Article
- Non-interacting proteins may resemble interacting proteins: prevalence and implications.Scientific reports · 2017Article
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11 authors.
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Abstract
The Negatome is a collection of protein and domain pairs that are unlikely to be engaged in direct physical interactions. The database currently contains experimentally supported non-interacting protein pairs derived from two distinct sources: by manual curation of literature and by analyzing protein complexes with known 3D structure. More stringent lists of non-interacting pairs were derived from these two datasets by excluding interactions detected by high-throughput approaches. Additionally, non-interacting protein domains have been derived from the stringent manual and structural data, respectively. The Negatome is much less biased toward functionally dissimilar proteins than the negative data derived by randomly selecting proteins from different cellular locations. It can be used to evaluate protein and domain interactions from new experiments and improve the training of interaction prediction algorithms. The Negatome database is available at http://mips.helmholtz-muenchen.de/proj/ppi/negatome.
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