Crystal Structure of a Carbon Monoxide Dehydrogenase Reveals a [Ni-4Fe-5S] Cluster
17 Aug 2001-Science (American Association for the Advancement of Science)-Vol. 293, Iss: 5533, pp 1281-1285
TL;DR: This structure represents the prototype for Ni-containing CO dehydrogenases from anaerobic bacteria and archaea and contains five metal clusters of which clusters B, B′, and a subunit-bridging, surface-exposed cluster D are cubane-type [4Fe-4S] clusters.
Abstract: The homodimeric nickel-containing CO dehydrogenase from the anaerobic bacterium Carboxydothermus hydrogenoformans catalyzes the oxidation of CO to CO2. A crystal structure of the reduced enzyme has been solved at 1.6 angstrom resolution. This structure represents the prototype for Ni-containing CO dehydrogenases from anaerobic bacteria and archaea. It contains five metal clusters of which clusters B, B', and a subunit-bridging, surface-exposed cluster D are cubane-type [4Fe-4S] clusters. The active-site clusters C and C' are novel, asymmetric [Ni-4Fe-5S] clusters. Their integral Ni ion, which is the likely site of CO oxidation, is coordinated by four sulfur ligands with square planar geometry.
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TL;DR: Iron-sulfur [Fe-S] clusters are ubiquitous and evolutionary ancient prosthetic groups that are required to sustain fundamental life processes and important mechanistic questions related to the biosynthetic process involve the molecular details of how these clusters are assembled on scaffold proteins, how they are transferred from scaffolds to target proteins, and how the biosynthesis process is regulated.
Abstract: ▪ Abstract Iron-sulfur [Fe-S] clusters are ubiquitous and evolutionary ancient prosthetic groups that are required to sustain fundamental life processes. Owing to their remarkable structural plasticity and versatile chemical/electronic features [Fe-S] clusters participate in electron transfer, substrate binding/activation, iron/sulfur storage, regulation of gene expression, and enzyme activity. Formation of intracellular [Fe-S] clusters does not occur spontaneously but requires a complex biosynthetic machinery. Three different types of [Fe-S] cluster biosynthetic systems have been discovered, and all of them are mechanistically unified by the requirement for a cysteine desulfurase and the participation of an [Fe-S] cluster scaffolding protein. Important mechanistic questions related to [Fe-S] cluster biosynthesis involve the molecular details of how [Fe-S] clusters are assembled on scaffold proteins, how [Fe-S] clusters are transferred from scaffolds to target proteins, how various accessory proteins part...
1,242 citations
TL;DR: The Wood-Ljungdahl pathway of CO(2) fixation involves this type of stepwise process and has intrigued chemists, biochemists, and microbiologists for many decades.
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600 citations
TL;DR: Through this review, structural features responsible for their redox properties are examined, including knowledge gained from recent progress in fine-tuning the redox centers.
Abstract: Redox reactions play important roles in almost all biological processes, including photosynthesis and respiration, which are two essential energy processes that sustain all life on earth. It is thus not surprising that biology employs redox-active metal ions in these processes. It is largely the redox activity that makes metal ions uniquely qualified as biological cofactors and makes bioinorganic enzymology both fun to explore and challenging to study.
Even though most metal ions are redox active, biology employs a surprisingly limited number of them for electron transfer (ET) processes. Prominent members of redox centers involved in ET processes include cytochromes, iron–sulfur clusters, and cupredoxins. Together these centers cover the whole range of reduction potentials in biology (Figure (Figure1).1). Because of their importance, general reviews about redox centers1−77 and specific reviews about cytochromes,8,24,78−90 iron–sulfur proteins,91−93 and cupredoxins94−104 have appeared in the literature. In this review, we provide both classification and description of each member of the above redox centers, including both native and designed proteins, as well as those proteins that contain a combination of these redox centers. Through this review, we examine structural features responsible for their redox properties, including knowledge gained from recent progress in fine-tuning the redox centers. Computational studies such as DFT calculations become more and more important in understanding the structure–function relationship and facilitating the fine-tuning of the ET properties and reduction potentials of metallocofactors in proteins. Since this aspect has been reviewed extensively before,105−110 and by other reviews in this thematic issue,2000,2001,2002 it will not be covered here.
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Figure 1
Reduction potential range of redox centers in electron transfer processes.
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References
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TL;DR: The Crystallography & NMR System (CNS) as mentioned in this paper is a software suite for macromolecular structure determination by X-ray crystallography or solution nuclear magnetic resonance (NMR) spectroscopy.
Abstract: A new software suite, called Crystallography & NMR System (CNS), has been developed for macromolecular structure determination by X-ray crystallography or solution nuclear magnetic resonance (NMR) spectroscopy. In contrast to existing structure-determination programs the architecture of CNS is highly flexible, allowing for extension to other structure-determination methods, such as electron microscopy and solid-state NMR spectroscopy. CNS has a hierarchical structure: a high-level hypertext markup language (HTML) user interface, task-oriented user input files, module files, a symbolic structure-determination language (CNS language), and low-level source code. Each layer is accessible to the user. The novice user may just use the HTML interface, while the more advanced user may use any of the other layers. The source code will be distributed, thus source-code modification is possible. The CNS language is sufficiently powerful and flexible that many new algorithms can be easily implemented in the CNS language without changes to the source code. The CNS language allows the user to perform operations on data structures, such as structure factors, electron-density maps, and atomic properties. The power of the CNS language has been demonstrated by the implementation of a comprehensive set of crystallographic procedures for phasing, density modification and refinement. User-friendly task-oriented input files are available for nearly all aspects of macromolecular structure determination by X-ray crystallography and solution NMR.
15,182 citations
TL;DR: A novel algorithm (DALI) for optimal pairwise alignment of protein structures that identifies structural resemblances and common structural cores accurately and sensitively, even in the presence of geometrical distortions is developed.
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TL;DR: A fully automated procedure for solving MIR and MAD structures has been developed using a scoring scheme to convert the structure-solution process into an optimization problem.
Abstract: Obtaining an electron-density map from X-ray diffraction data can be difficult and time-consuming even after the data have been collected, largely because MIR and MAD structure determinations currently require many subjective evaluations of the qualities of trial heavy-atom partial structures before a correct heavy-atom solution is obtained. A set of criteria for evaluating the quality of heavy-atom partial solutions in macromolecular crystallography have been developed. These have allowed the conversion of the crystal structure-solution process into an optimization problem and have allowed its automation. The SOLVE software has been used to solve MAD data sets with as many as 52 selenium sites in the asymmetric unit. The automated structure-solution process developed is a major step towards the fully automated structure-determination, model-building and refinement procedure which is needed for genomic scale structure determinations.
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TL;DR: The program is designed to be easy to use and general for all space groups and uses a conventional structure-factor calculation rather than a fast Fourier transform (FFT) summation, which is much slower than programs written specifically for macromolecules.
Abstract: Publisher Summary SHELXL-93 was originally written as a replacement for the refinement part of the small-molecule program SHELX-76. The program is designed to be easy to use and general for all space groups and uses a conventional structure-factor calculation rather than a fast Fourier transform (FFT) summation. The latter would be faster but in practice involves some small approximations and is not suitable for the treatment of anomalous dispersion or anisotropic thermal motion. The price to pay for the extra precision and generality is that SHELXL is much slower than programs written specifically for macromolecules. This is compensated for, to some extent, by the better convergence properties, reducing the amount of manual intervention required. A new version, SHELXL-97, was released in May 1997; this is the version described in the chapter. The changes are primarily designed to make the program easier to use for macromolecules. Advances in cryogenic techniques, area detectors, and the use of synchrotron radiation enable macromolecular data to be collected to higher resolution than was previously possible. In practice, this tends to complicate the refinement because it is possible to resolve finer details of the structure. It is often necessary to model alternative conformations, and in a few cases, even anisotropic refinement is justified.
2,203 citations
TL;DR: The 14 Å or less spacing of redox centres provides highly robust engineering for electron transfer, and may reflect selection against designs that have proved more vulnerable to mutations during the course of evolution.
Abstract: We have surveyed proteins with known atomic structure whose function involves electron transfer; in these, electrons can travel up to 14 A between redox centres through the protein medium. Transfer over longer distances always involves a chain of cofactors. This redox centre proximity alone is sufficient to allow tunnelling of electrons at rates far faster than the substrate redox reactions it supports. Consequently, there has been no necessity for proteins to evolve optimized routes between redox centres. Instead, simple geometry enables rapid tunnelling to high-energy intermediate states. This greatly simplifies any analysis of redox protein mechanisms and challenges the need to postulate mechanisms of superexchange through redox centres or the maintenance of charge neutrality when investigating electron-transfer reactions. Such tunnelling also allows sequential electron transfer in catalytic sites to surmount radical transition states without involving the movement of hydride ions, as is generally assumed. The 14 A or less spacing of redox centres provides highly robust engineering for electron transfer, and may reflect selection against designs that have proved more vulnerable to mutations during the course of evolution.
1,760 citations