ReviewFrontiers in chemistry2018
Computational Understanding of the Selectivities in Metalloenzymes.
Review in Frontiers in chemistry, 2018. 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.
- The Quantum Chemical Cluster Approach in Biocatalysis.Accounts of chemical research · 2023Review
- Radical SAM Enzymes and Metallocofactor Assembly: A Structural Point of View.ACS bio & med chem Au · 2022Review
- Redox Isomerism in the SChemistry (Weinheim an der Bergstrasse, Germany) · 2021Article
- Differences in the Nature of the Phosphoryl Transfer Transition State in Protein Phosphatase 1 and Alkaline Phosphatase: Insights from QM Cluster Models.The journal of physical chemistry. B · 2020Article
- Formation of Unstable and very Reactive Chemical Species Catalyzed by Metalloenzymes: A Mechanistic Overview.Molecules (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metalloenzymes catalyze many different types of biological reactions with high efficiency and remarkable selectivity. The quantum chemical cluster approach and the combined quantum mechanics/molecular mechanics methods have proven very successful in the elucidation of the reaction mechanism and rationalization of selectivities in enzymes. In this review, recent progress in the computational understanding of various selectivities including chemoselectivity, regioselectivity, and stereoselectivity, in metalloenzymes, is discussed.
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Registered trials
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