ReviewThe Journal of biological chemistry2014
New insights about enzyme evolution from large scale studies of sequence and structure relationships.
Review in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Phylogenetic assembly of methanogenesis regulates methane yield in food-waste anaerobic digestion.The ISME journal · 2026Article
- Enhanced thermostability of nattokinase by rational design of disulfide bond.Microbial cell factories · 2025Article
- An objective criterion to evaluate sequence-similarity networks helps in dividing the protein family sequence space.PLoS computational biology · 2023Article
- Metallo-Beta-Lactamase-like Encoding Genes in Candidate Phyla Radiation: Widespread and Highly Divergent Proteins with Potential Multifunctionality.Microorganisms · 2023Article
- TMEM164 is an acyltransferase that forms ferroptotic C20:4 ether phospholipids.Nature chemical biology · 2023Article
- CATH functional families predict functional sites in proteins.Bioinformatics (Oxford, England) · 2021Article
- Exploring Protein Space: From Hydrolase to Ligase by Substitution.Molecular biology and evolution · 2021Article
- Characterizing lineage-specific evolution and the processes driving genomic diversification in chordates.BMC evolutionary biology · 2020Article
- A strategy for large-scale comparison of evolutionary- and reaction-based classifications of enzyme function.Database : the journal of biological databases and curation · 2020Article
- Analysis of Electrochemical Properties ofJournal of the American Chemical Society · 2019Article
- Harnessing glycoenzyme engineering for synthesis of bioactive oligosaccharides.Interface focus · 2019Review
- Effusion: prediction of protein function from sequence similarity networks.Bioinformatics (Oxford, England) · 2019Article
- CATH: expanding the horizons of structure-based functional annotations for genome sequences.Nucleic acids research · 2019Article
- The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases.Biotechnology for biofuels · 2019Article
- Theoretical Studies on Catalysis Mechanisms of Serum Paraoxonase 1 and Phosphotriesterase Diisopropyl Fluorophosphatase Suggest the Alteration of Substrate Preference from Paraoxonase to DFP.Molecules (Basel, Switzerland) · 2018Article
- No wisdom in the crowd: genome annotation in the era of big data - current status and future prospects.Microbial biotechnology · 2018Review
- To what extent do structural changes in catalytic metal sites affect enzyme function?Journal of inorganic biochemistry · 2018Article
- Atlas of the Radical SAM Superfamily: Divergent Evolution of Function Using a "Plug and Play" Domain.Methods in enzymology · 2018Article
- Confronting the catalytic dark matter encoded by sequenced genomes.Nucleic acids research · 2017Article
- 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
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Understanding how enzymes have evolved offers clues about their structure-function relationships and mechanisms. Here, we describe evolution of functionally diverse enzyme superfamilies, each representing a large set of sequences that evolved from a common ancestor and that retain conserved features of their structures and active sites. Using several examples, we describe the different structural strategies nature has used to evolve new reaction and substrate specificities in each unique superfamily. The results provide insight about enzyme evolution that is not easily obtained from studies of one or only a few enzymes.
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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.