ReviewCurrent opinion in structural biology2011
Protein function prediction: towards integration of similarity metrics.
Review in Current opinion in structural biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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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.
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Who cites it
22 citing papers in PubMed.
- Predicted protein 3D structures provide essential insights into the genetic architecture underlying phenotypic diversity in maize.Genome research · 2026Article
- On the influence of several factors on pathway enrichment analysis.Briefings in bioinformatics · 2022Review
- Functional characterization of prokaryotic dark matter: the road so far and what lies ahead.Current research in microbial sciences · 2022Review
- Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities.BMC bioinformatics · 2020Article
- Function Prediction for G Protein-Coupled Receptors through Text Mining and Induction Matrix Completion.ACS omega · 2019Article
- Crius: A novel fragment-based algorithm of de novo substrate prediction for enzymes.Protein science : a publication of the Protein Society · 2018Article
- Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate.International journal of molecular sciences · 2018Article
- Arsenic metabolism in high altitude modern stromatolites revealed by metagenomic analysis.Scientific reports · 2017Article
- Isofunctional Protein Subfamily Detection Using Data Integration and Spectral Clustering.PLoS computational biology · 2016Article
- Exploring Mouse Protein Function via Multiple Approaches.PloS one · 2016Article
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- Prediction and experimental validation of enzyme substrate specificity in protein structures.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Using Chemical Knowledge to Uncover New Biological Function: Discovery of the Cylindrocyclophane Biosynthetic Pathway.Synlett : accounts and rapid communications in synthetic organic chemistry · 2013Article
- Biases in the experimental annotations of protein function and their effect on our understanding of protein function space.PLoS computational biology · 2013Article
- Function prediction from networks of local evolutionary similarity in protein structure.BMC bioinformatics · 2013Article
- Linking genome-scale metabolic modeling and genome annotation.Methods in molecular biology (Clifton, N.J.) · 2013Article
- ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape.Bioinformatics (Oxford, England) · 2012Article
- CombFunc: predicting protein function using heterogeneous data sources.Nucleic acids research · 2012Article
- Exploring protein dynamics space: the dynasome as the missing link between protein structure and function.PloS one · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Genomic centers discover increasingly many protein sequences and structures, but not necessarily their full biological functions. Thus, currently, less than one percent of proteins have experimentally verified biochemical activities. To fill this gap, function prediction algorithms apply metrics of similarity between proteins on the premise that those sufficiently alike in sequence, or structure, will perform identical functions. Although high sensitivity is elusive, network analyses that integrate these metrics together hold the promise of rapid gains in function prediction specificity.
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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.