ReviewComputational and structural biotechnology journal2019
Inferring Protein-Protein Interaction Networks From Mass Spectrometry-Based Proteomic Approaches: A Mini-Review.
Review in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Interrelational Proteomic Sequence Features Enhance Predictive Modeling: Application to COVID-19 Severity.Biomedicines · 2026Article
- Deciphering Protein Interaction Dynamics Using the Yeast Three-Hybrid System.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Elucidating the dynamics of integrin αIIbβ3 from native platelet membranes by cryo-EM with build-and-retrieve method.Blood advances · 2025Article
- Exploring the complexity of MECP2 function in Rett syndrome.Nature reviews. Neuroscience · 2025Review
- Screening of CCDC43 molecular partners by BioID2-based proximity labeling.Turkish journal of biology = Turk biyoloji dergisi · 2025Article
- Higher-Order Structural Organization of the Mitochondrial Proteome Charted by In Situ Cross-Linking Mass Spectrometry.Molecular & cellular proteomics : MCP · 2023Article
- Machine learning in computational modelling of membrane protein sequences and structures: From methodologies to applications.Computational and structural biotechnology journal · 2023Review
- Comprehensive characterization of the Hsp70 interactome reveals novel client proteins and interactions mediated by posttranslational modifications.PLoS biology · 2022Article
- Topological analysis as a tool for detection of abnormalities in protein-protein interaction data.Bioinformatics (Oxford, England) · 2022Article
- Protein-protein interaction prediction with deep learning: A comprehensive review.Computational and structural biotechnology journal · 2022Review
- Advances and Trends in Omics Technology Development.Frontiers in medicine · 2022Review
- Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN.Interdisciplinary sciences, computational life sciences · 2021Article
- Protein-protein interactions: Methods, databases, and applications in virus-host study.World journal of virology · 2021Review
- Review
- CANVS: an easy-to-use application for the analysis and visualization of mass spectrometry-based protein-protein interaction/association data.Molecular biology of the cell · 2021Article
- Cost-Effective Mapping of Genetic Interactions in Mammalian Cells.Frontiers in genetics · 2021Article
- PPI-MASS: An Interactive Web Server to Identify Protein-Protein Interactions From Mass Spectrometry-Based Proteomics Data.Frontiers in molecular biosciences · 2021Article
- Quantitative Mass Spectrometry-Based Proteomics: An Overview.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Article
- Mutant thermal proteome profiling for characterization of missense protein variants and their associated phenotypes within the proteome.The Journal of biological chemistry · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Studying protein-protein interaction networks provide key evidence for the underlying molecular mechanisms. Mass spectrometry-based proteomic approaches have been playing a pivotal role in deciphering these interaction networks, along with precise quantification for individual interactions. In this mini-review we discuss the available techniques and methods for qualitative and quantitative elucidation of protein-protein interaction networks. We then summarize the down-stream computational strategies for identification and quantification of interactions from those techniques. Finally, we highlight the challenges and limitations of current computational pipelines in eliminating false positive interactors, followed by a summary of the innovative algorithms to address these issues, along with the scope for future improvements.
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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.