ArticleNucleic acids research2016
FunTree: advances in a resource for exploring and contextualising protein function evolution.
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- PharaohFUN: phylogenomic analysis for plant protein history and function elucidation.Molecular biology and evolution · 2026Article
- Paradigms of convergent evolution in enzymes.The FEBS journal · 2025Article
- Enzyme function and evolution through the lens of bioinformatics.The Biochemical journal · 2023Review
- Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023Review
- Towards region-specific propagation of protein functions.Bioinformatics (Oxford, England) · 2019Article
- Computationally-guided drug repurposing enables the discovery of kinase targets and inhibitors as new schistosomicidal agents.PLoS computational biology · 2018Article
- Reaction Decoder Tool (RDT): extracting features from chemical reactions.Bioinformatics (Oxford, England) · 2016Article
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Authors and funding
2 authors.
Funding
Abstract
FunTree is a resource that brings together protein sequence, structure and functional information, including overall chemical reaction and mechanistic data, for structurally defined domain superfamilies. Developed in tandem with the CATH database, the original FunTree contained just 276 superfamilies focused on enzymes. Here, we present an update of FunTree that has expanded to include 2340 superfamilies including both enzymes and proteins with non-enzymatic functions annotated by Gene Ontology (GO) terms. This allows the investigation of how novel functions have evolved within a structurally defined superfamily and provides a means to analyse trends across many superfamilies. This is done not only within the context of a protein's sequence and structure but also the relationships of their functions. New measures of functional similarity have been integrated, including for enzymes comparisons of overall reactions based on overall bond changes, reaction centres (the local environment atoms involved in the reaction) and the sub-structure similarities of the metabolites involved in the reaction and for non-enzymes semantic similarities based on the GO. To identify and highlight changes in function through evolution, ancestral character estimations are made and presented. All this is accessible through a new re-designed web interface that can be found at http://www.funtree.info.
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Registered trials
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