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Metal ions in biological catalysis: from enzyme databases to general principles

Overview of attention for article published in JBIC Journal of Biological Inorganic Chemistry, July 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 664)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Readers on

mendeley
874 Mendeley
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4 CiteULike
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1 Connotea
Title
Metal ions in biological catalysis: from enzyme databases to general principles
Published in
JBIC Journal of Biological Inorganic Chemistry, July 2008
DOI 10.1007/s00775-008-0404-5
Pubmed ID
Authors

Claudia Andreini, Ivano Bertini, Gabriele Cavallaro, Gemma L. Holliday, Janet M. Thornton

Abstract

We analysed the roles and distribution of metal ions in enzymatic catalysis using available public databases and our new resource Metal-MACiE (http://www.ebi.ac.uk/thornton-srv/databases/Metal_MACiE/home.html). In Metal-MACiE, a database of metal-based reaction mechanisms, 116 entries covering 21% of the metal-dependent enzymes and 70% of the types of enzyme-catalysed chemical transformations are annotated according to metal function. We used Metal-MACiE to assess the functions performed by metals in biological catalysis and the relative frequencies of different metals in different roles, which can be related to their individual chemical properties and availability in the environment. The overall picture emerging from the overview of Metal-MACiE is that redox-inert metal ions are used in enzymes to stabilize negative charges and to activate substrates by virtue of their Lewis acid properties, whereas redox-active metal ions can be used both as Lewis acids and as redox centres. Magnesium and zinc are by far the most common ions of the first type, while calcium is relatively less used. Magnesium, however, is most often bound to phosphate groups of substrates and interacts with the enzyme only transiently, whereas the other metals are stably bound to the enzyme. The most common metal of the second type is iron, which is prevalent in the catalysis of redox reactions, followed by manganese, cobalt, molybdenum, copper and nickel. The control of the reactivity of redox-active metal ions may involve their association with organic cofactors to form stable units. This occurs sometimes for iron and nickel, and quite often for cobalt and molybdenum.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 874 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
United Kingdom 4 <1%
Germany 2 <1%
Chile 2 <1%
Austria 2 <1%
Pakistan 1 <1%
Italy 1 <1%
Czechia 1 <1%
Portugal 1 <1%
Other 2 <1%
Unknown 851 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 215 25%
Researcher 103 12%
Student > Bachelor 96 11%
Student > Master 93 11%
Student > Doctoral Student 57 7%
Other 107 12%
Unknown 203 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 178 20%
Chemistry 171 20%
Biochemistry, Genetics and Molecular Biology 155 18%
Immunology and Microbiology 34 4%
Environmental Science 23 3%
Other 87 10%
Unknown 226 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2023.
All research outputs
#2,088,085
of 23,842,189 outputs
Outputs from JBIC Journal of Biological Inorganic Chemistry
#5
of 664 outputs
Outputs of similar age
#5,436
of 83,089 outputs
Outputs of similar age from JBIC Journal of Biological Inorganic Chemistry
#1
of 4 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 664 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 83,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them