Computational modelling of oxygenation processes in enzymes and biomimetic model complexes

With computational resources becoming more efficient and more powerful and at the same time cheaper, computational methods have become more and more popular for studies on biochemical and biomimetic systems. Although large efforts from the scientific community have gone into exploring the possibilit...

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Bibliographic Details
Main Authors: Visser, Samuel P. de (Author) , Quesne, Matthew G. (Author) , Martin, Bodo (Author) , Comba, Peter (Author) , Ryde, Ulf (Author)
Format: Article (Journal)
Language:English
Published: 2014
In: Chemical communications
Year: 2013, Volume: 50, Issue: 3, Pages: 262-282
ISSN:1364-548X
DOI:10.1039/C3CC47148A
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1039/C3CC47148A
Verlag, lizenzpflichtig, Volltext: https://pubs.rsc.org/en/content/articlelanding/2014/cc/c3cc47148a
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Author Notes:Sam P. de Visser, Matthew G. Quesne, Bodo Martin, Peter Comba and Ulf Ryde
Description
Summary:With computational resources becoming more efficient and more powerful and at the same time cheaper, computational methods have become more and more popular for studies on biochemical and biomimetic systems. Although large efforts from the scientific community have gone into exploring the possibilities of computational methods for studies on large biochemical systems, such studies are not without pitfalls and often cannot be routinely done but require expert execution. In this review we summarize and highlight advances in computational methodology and its application to enzymatic and biomimetic model complexes. In particular, we emphasize on topical and state-of-the-art methodologies that are able to either reproduce experimental findings, e.g., spectroscopic parameters and rate constants, accurately or make predictions of short-lived intermediates and fast reaction processes in nature. Moreover, we give examples of processes where certain computational methods dramatically fail.
Item Description: First published 29 Oct 2013
Gesehen am 09.10.2020
Physical Description:Online Resource
ISSN:1364-548X
DOI:10.1039/C3CC47148A