ArticleScientific reports2018
IDPpi: Protein-Protein Interaction Analyses of Human Intrinsically Disordered Proteins.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Hybrid deep learning with protein language models and dual-path architecture for predicting IDP functions.Briefings in bioinformatics · 2026Article
- 'Intelligent' proteins.Cellular and molecular life sciences : CMLS · 2025Review
- Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.Biophysical reviews · 2025Review
- ENO1/Hsp70 Interaction Domains: In Silico and In Vitro Insight for a Putative Therapeutic Target in Cancer.ACS omega · 2025Article
- Article
- Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces.Computational and structural biotechnology journal · 2024Article
- SENSE-PPI reconstructs interactomes within, across, and between species at the genome scale.iScience · 2024Article
- Extending MeCP2 interactome: canonical nucleosomal histones interact with MeCP2.Nucleic acids research · 2024Article
- Conformational changes in the negative arm of the circadian clock correlate with dynamic interactomes involved in post-transcriptional regulation.Cell reports · 2023Article
- Combining enhanced sampling and deep learning dimensionality reduction for the study of the heat shock protein B8 and its pathological mutant K141E.RSC advances · 2022Article
- Split-GFP Reassembly Assay: Strengths and Caveats from a Multiparametric Analysis.International journal of molecular sciences · 2022Article
- Characterization of intrinsically disordered regions in proteins informed by human genetic diversity.PLoS computational biology · 2022Article
- The disordered PCI-binding human proteins CSNAP and DSS1 have diverged in structure and function.Protein science : a publication of the Protein Society · 2021Article
- On the specificity of protein-protein interactions in the context of disorder.The Biochemical journal · 2021Review
- β-catenin regulates FOXP2 transcriptional activity via multiple binding sites.The FEBS journal · 2021Article
- A Unique Family of Neuronal Signaling Proteins Implicated in Oncogenesis and Tumor Suppression.Frontiers in oncology · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Intrinsically disordered proteins (IDPs) are characterized by the lack of a fixed tertiary structure and are involved in the regulation of key biological processes via binding to multiple protein partners. IDPs are malleable, adapting to structurally different partners, and this flexibility stems from features encoded in the primary structure. The assumption that universal sequence information will facilitate coverage of the sparse zones of the human interactome motivated us to explore the possibility of predicting protein-protein interactions (PPIs) that involve IDPs based on sequence characteristics. We developed a method that relies on features of the interacting and non-interacting protein pairs and utilizes machine learning to classify and predict IDP PPIs. Consideration of both sequence determinants specific for conformational organizations and the multiplicity of IDP interactions in the training phase ensured a reliable approach that is superior to current state-of-the-art methods. By applying a strict evaluation procedure, we confirm that our method predicts interactions of the IDP of interest even on the proteome-scale. This service is provided as a web tool to expedite the discovery of new interactions and IDP functions with enhanced efficiency.
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Registered trials
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