The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Combined Quantum Mechanics/Molecular Mechanics (QM/MM) Methods in Computational Enzymology
Abstract
Computational enzymology is a rapidly maturing field that is increasingly integral to understanding mechanisms of enzyme-catalyzed reactions and their practical applications. Combined quantum mechanics/molecular mechanics (QM/MM) methods are important in this field. By treating the reacting species with a quantum mechanical method (i.e., a method that calculates the electronic structure of the active site) and including the enzyme environment with simpler molecular mechanical methods, enzyme reactions can be modeled. Here, we review QM/MM methods and their application to enzyme-catalyzed reactions to investigate fundamental and practical problems in enzymology. A range of QM/MM methods is available, from cheaper and more approximate methods, which can be used for molecular dynamics simulations, to highly accurate electronic structure methods. We discuss how modeling of reactions using such methods can provide detailed insight into enzyme mechanisms and illustrate this by reviewing some recent applications. We outline some practical considerations for such simulations. Further, we highlight applications that show how QM/MM methods can contribute to the practical development and application of enzymology, e.g., in the interpretation and prediction of the effects of mutagenesis and in drug and catalyst design.
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Citations
Cites
Taking Ockham's razor to enzyme dynamics and catalysis
Glowacki, D. R., Harvey, J. N., & Mulholland, A. J. (2012) · Nature Chemistry · doi:10.1038/nchem.1244 · Cited by 232
Self-citationQuantum Tunnelling in Enzyme-Catalysed Reactions
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Biomolecular simulation and modelling: status, progress and prospects
van der Kamp, M. W., Shaw, K. E., Woods, C. J., & Mulholland, A. J. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0105.focus · Cited by 90 · cited 13×
“(221) Martí, S., Andreś, J., Moliner, V., Silla, E., Tuñoń, I., and Bertrań, J. (2009) Mechanism and Plasticity of Isochorismate Pyruvate Lyase: A Computational Study.”
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Cited by
Payne, C. M., Knott, B. C., Mayes, H. B., Hansson, H., Himmel, M. E., Sandgren, M., Ståhlberg, J., & Beckham, G. T. (2015) · Chemical Reviews · doi:10.1021/cr500351c · Cited by 855
Brunk, E., & Rothlisberger, U. (2015) · Chemical Reviews · doi:10.1021/cr500628b · Cited by 494
Structure-based design of targeted covalent inhibitors
Lonsdale, R., & Ward, R. A. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00220c · Cited by 344
The prospects of quantum computing in computational molecular biology
Outeiral, C., Strahm, M., Shi, J., Morris, G. M., Benjamin, S. C., & Deane, C. M. (2021) · WIREs Computational Molecular Science · doi:10.1002/wcms.1481 · Cited by 232
Huggins, D. J., Biggin, P. C., Dämgen, M. A., Essex, J. W., Harris, S. A., Henchman, R. H., Khalid, S., Kuzmanic, A., Laughton, C. A., Michel, J., et al. (2019) · WIREs Computational Molecular Science · doi:10.1002/wcms.1393 · Cited by 169
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Metadata
- Authors
- van der Kamp, M. W., & Mulholland, A. J.
- Venue
- Biochemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-04-12
- Volume
- 52
- Issue
- 16
- Pages
- 2708-2728
- ISSN
- 0006-2960 (ISSN-L)
- 1520-4995
- OpenAlex
- W2019555480
- Cited by
- 635
- References
- 3
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- closed
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