ArticleNucleic acids research2010
Struct2Net: a web service to predict protein-protein interactions using a structure-based approach.
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 47 papers.
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Who cites it
47 citing papers in PubMed.
- Machine Learning Methods for Protein-Protein Interaction Prediction Based on Noncovalent Interactions.ACS omega · 2026Article
- Relational subgraphs fused with complete subgraphs based on the knowledge graph for mining protein complexes.Scientific reports · 2025Article
- Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces.Computational and structural biotechnology journal · 2024Article
- DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.BMC bioinformatics · 2023Article
- Contrastive learning in protein language space predicts interactions between drugs and protein targets.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023Article
- ADH-PPI: An attention-based deep hybrid model for protein-protein interaction prediction.iScience · 2022Article
- Protein Function Analysis through Machine Learning.Biomolecules · 2022Review
- ProMoCell and ProModb: Web services for analyzing interaction-based functionally localized protein modules in a cell.Journal of molecular modeling · 2022Article
- Identification of new ETV6 modulators through a high-throughput functional screening.iScience · 2022Article
- ProteinPrompt: a webserver for predicting protein-protein interactions.Bioinformatics advances · 2022Article
- Cross-attention PHV: Prediction of human and virus protein-protein interactions using cross-attention-based neural networks.Computational and structural biotechnology journal · 2022Article
- D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions.Cell systems · 2021Article
- Artificial intelligence to deep learning: machine intelligence approach for drug discovery.Molecular diversity · 2021Review
- A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-19.Journal of biomedical informatics · 2021Article
- Databases for Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Methods for Molecular Modelling of Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Graph embeddings on gene ontology annotations for protein-protein interaction prediction.BMC bioinformatics · 2020Article
- Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Struct2Net is a web server for predicting interactions between arbitrary protein pairs using a structure-based approach. Prediction of protein-protein interactions (PPIs) is a central area of interest and successful prediction would provide leads for experiments and drug design; however, the experimental coverage of the PPI interactome remains inadequate. We believe that Struct2Net is the first community-wide resource to provide structure-based PPI predictions that go beyond homology modeling. Also, most web-resources for predicting PPIs currently rely on functional genomic data (e.g. GO annotation, gene expression, cellular localization, etc.). Our structure-based approach is independent of such methods and only requires the sequence information of the proteins being queried. The web service allows multiple querying options, aimed at maximizing flexibility. For the most commonly studied organisms (fly, human and yeast), predictions have been pre-computed and can be retrieved almost instantaneously. For proteins from other species, users have the option of getting a quick-but-approximate result (using orthology over pre-computed results) or having a full-blown computation performed. The web service is freely available at http://struct2net.csail.mit.edu.
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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.