ReviewAnnual review of biophysics2014
Structural bioinformatics of the interactome.
Review in Annual review of biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Structural coverage of the human interactome.Briefings in bioinformatics · 2023Article
- Protein-protein interfaces in molecular glue-induced ternary complexes: classification, characterization, and prediction.RSC chemical biology · 2023Review
- An interolog-based barley interactome as an integration framework for immune signaling.Genetics · 2022Article
- scLink: Inferring Sparse Gene Co-expression Networks from Single-cell Expression Data.Genomics, proteomics & bioinformatics · 2021Article
- Protein-protein binding supersites.PLoS computational biology · 2019Article
- Applications of molecular networks in biomedicine.Biology methods & protocols · 2019Review
- From Atoms to Cells: Using Mesoscale Landscapes to Construct Visual Narratives.Journal of molecular biology · 2018Review
- Dockground: A comprehensive data resource for modeling of protein complexes.Protein science : a publication of the Protein Society · 2018Article
- From protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data.EURASIP journal on bioinformatics & systems biology · 2017Review
- Modeling complexes of modeled proteins.Proteins · 2017Article
- Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows.Methods in molecular biology (Clifton, N.J.) · 2017Article
- PRIMO: An Interactive Homology Modeling Pipeline.PloS one · 2016Article
- Deciphering Supramolecular Structures with Protein-Protein Interaction Network Modeling.Scientific reports · 2015Article
- DisVis: quantifying and visualizing accessible interaction space of distance-restrained biomolecular complexes.Bioinformatics (Oxford, England) · 2015Article
- DynaFace: Discrimination between Obligatory and Non-obligatory Protein-Protein Interactions Based on the Complex's Dynamics.PLoS computational biology · 2015Article
- Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.Biophysical journal · 2015Article
- Predicting peptide-mediated interactions on a genome-wide scale.PLoS computational biology · 2015Article
- Use of mechanistic models to integrate and analyze multiple proteomic datasets.Biophysical journal · 2015Article
- Decomposing the space of protein quaternary structures with the interface fragment pair library.BMC bioinformatics · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The past decade has seen a dramatic expansion in the number and range of techniques available to obtain genome-wide information and to analyze this information so as to infer both the functions of individual molecules and how they interact to modulate the behavior of biological systems. Here, we review these techniques, focusing on the construction of physical protein-protein interaction networks, and highlighting approaches that incorporate protein structure, which is becoming an increasingly important component of systems-level computational techniques. We also discuss how network analyses are being applied to enhance our basic understanding of biological systems and their disregulation, as well as how these networks are being used in drug development.
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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.