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Quantum mechanical calculations reveal the hidden states of enzyme active sites

Date:
November 20, 2014
Source:
Princeton University
Summary:
Enzymes carry out fundamental biological processes such as photosynthesis, nitrogen fixation and respiration, with the help of clusters of metal atoms as 'active' sites. But scientists lack basic information about their function because the states thought to be critical to their chemical abilities cannot be experimentally observed. Now, researchers have reported the first direct observation of the electronic states of iron-sulfur clusters, common to many enzyme active sites.
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Enzymes carry out fundamental biological processes such as photosynthesis, nitrogen fixation and respiration, with the help of clusters of metal atoms as "active" sites. But scientists lack basic information about their function because the states thought to be critical to their chemical abilities cannot be experimentally observed.

Now, researchers at Princeton University have reported the first direct observation of the electronic states of iron-sulfur clusters, common to many enzyme active sites. Published on August 31 in the journal Nature Chemistry, the states were revealed by computing the complicated quantum mechanical behavior of the electrons in the clusters.

"These complexes were thought of as impossible to model, due to the complexity of the quantum mechanics," said Garnet Chan, the A. Barton Hepburn Professor of Chemistry and corresponding author on the paper.

In these systems, the electrons interact strongly with each other, their movements resembling a complicated dance. To reduce the complexity, the researchers drew on a new understanding, gained from fundamental work in quantum information theory, that the motion of the electrons had a special pattern.

"At first glance, the electrons appear to move in a complicated way, but eventually you realize that they only care about what their immediate neighbors are doing, similar to being in a crowded room. This restriction on their behavior leads to important simplifications: the calculations become very difficult rather than impossible -- it's just on the edge of what can be done," Chan said.

Using their new method, Chan and coworkers found that iron-sulfur clusters possess an order of magnitude more accessible electronic states than previously reported. The researchers suggested that this unusual richness might explain their ubiquity in biological processes.

This finding, that there are many more available electronic states than previously thought, presents many different chemical possibilities. What if these clusters simultaneously used a combination of mechanisms, instead of the accepted chemical idea that there is one distinct electronic pathway, Chan wondered. To test that idea and learn more about the clusters' behavior, the researchers plan to extend their calculations to observe a chemical transformation in action.

"If you want to understand why iron-sulfur clusters are a ubiquitous biological motif and how we can create even better synthetic analogs, then you need to know what the electrons are doing," Chan said. "Now we've caught a first glimpse as to what they are getting up to."


Story Source:

Materials provided by Princeton University. Note: Content may be edited for style and length.


Journal Reference:

  1. Sandeep Sharma, Kantharuban Sivalingam, Frank Neese, Garnet Kin-Lic Chan. Low-energy spectrum of iron–sulfur clusters directly from many-particle quantum mechanics. Nature Chemistry, 2014; 6 (10): 927 DOI: 10.1038/nchem.2041

Cite This Page:

Princeton University. "Quantum mechanical calculations reveal the hidden states of enzyme active sites." ScienceDaily. ScienceDaily, 20 November 2014. <www.sciencedaily.com/releases/2014/11/141120133424.htm>.
Princeton University. (2014, November 20). Quantum mechanical calculations reveal the hidden states of enzyme active sites. ScienceDaily. Retrieved March 18, 2024 from www.sciencedaily.com/releases/2014/11/141120133424.htm
Princeton University. "Quantum mechanical calculations reveal the hidden states of enzyme active sites." ScienceDaily. www.sciencedaily.com/releases/2014/11/141120133424.htm (accessed March 18, 2024).

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