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Accuracy of Protein Embedding Potentials: An Analysis in Terms of Electrostatic Potentials
- Source :
- Olsen, J M H, List, N H, Kristensen, K & Kongsted, J 2015, ' Accuracy of Protein Embedding Potentials: An Analysis in Terms of Electrostatic Potentials ', Journal of Chemical Theory and Computation, vol. 11, no. 4, pp. 1832–1842 . https://doi.org/10.1021/acs.jctc.5b00078
- Publication Year :
- 2015
- Publisher :
- American Chemical Society (ACS), 2015.
-
Abstract
- Quantum-mechanical embedding methods have in recent years gained significant interest and may now be applied to predict a wide range of molecular properties calculated at different levels of theory. To reach a high level of accuracy in embedding methods, both the electronic structure model of the active region and the embedding potential need to be of sufficiently high quality. In fact, failures in quantum mechanics/molecular mechanics (QM/MM)-based embedding methods have often been associated with the QM/MM methodology itself; however, in many cases the reason for such failures is due to the use of an inaccurate embedding potential. In this paper, we investigate in detail the quality of the electronic component of embedding potentials designed for calculations on protein biostructures. We show that very accurate explicitly polarizable embedding potentials may be efficiently designed using fragmentation strategies combined with single-fragment ab initio calculations. In fact, due to the self-interaction error in Kohn-Sham density functional theory (KS-DFT), use of large full-structure quantum-mechanical calculations based on conventional (hybrid) functionals leads to less accurate embedding potentials than fragment-based approaches. We also find that standard protein force fields yield poor embedding potentials, and it is therefore not advisable to use such force fields in general QM/MM-type calculations of molecular properties other than energies and structures.
- Subjects :
- Physics
010304 chemical physics
Static Electricity
Proteins
Dipeptides
Electronic structure
Molecular Dynamics Simulation
010402 general chemistry
01 natural sciences
Protein Structure, Tertiary
0104 chemical sciences
Computer Science Applications
Range (mathematics)
Molecular dynamics
Classical mechanics
Polarizability
Ab initio quantum chemistry methods
visual_art
0103 physical sciences
Electronic component
visual_art.visual_art_medium
Quantum Theory
Embedding
Density functional theory
Physical and Theoretical Chemistry
Subjects
Details
- ISSN :
- 15499626 and 15499618
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Journal of Chemical Theory and Computation
- Accession number :
- edsair.doi.dedup.....a06cd38a8c98ca4d9f4e0eb4f50f5fd5