ArticlePloS one2013
PANADA: protein association network annotation, determination and analysis.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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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Who cites it
5 citing papers in PubMed.
- Effusion: prediction of protein function from sequence similarity networks.Bioinformatics (Oxford, England) · 2019Article
- Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Comparison of topological clustering within protein networks using edge metrics that evaluate full sequence, full structure, and active site microenvironment similarity.Protein science : a publication of the Protein Society · 2015Article
- GRYFUN: a web application for GO term annotation visualization and analysis in protein sets.PloS one · 2015Article
- NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation.BMC genomics · 2014Article
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Authors and funding
5 authors.
Funding
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Abstract
Increasingly large numbers of proteins require methods for functional annotation. This is typically based on pairwise inference from the homology of either protein sequence or structure. Recently, similarity networks have been presented to leverage both the ability to visualize relationships between proteins and assess the transferability of functional inference. Here we present PANADA, a novel toolkit for the visualization and analysis of protein similarity networks in Cytoscape. Networks can be constructed based on pairwise sequence or structural alignments either on a set of proteins or, alternatively, by database search from a single sequence. The Panada web server, executable for download and examples and extensive help files are available at URL: http://protein.bio.unipd.it/panada/.
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