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Using model complexes, the characteristics of alternative (associative) mechanisms that have been proposed for the metallophosphatase catalysed reaction are explored.
Inspection of the optimised geometries (see the Supporting Information) shows that in the DFT model complexes the substrates have reoriented in several cases and formed multiple hydrogen-bonding interactions with the carboxylic acid groups of succinate and Asp133 as well as the oxo-group.
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Even in that case, the LSTa AV18 and LSTa NY18 model complexes have the same geometry at the beginning of the MD simulations.
Our studies are compared with small model complexes and the effect of protein and environment on the kinetics and mechanism is explained.
The model complexes, in which hydrogen bonds and halogen bonds coexist, show additivity.
The ABM paradigm is a computational method to model complex systems through the collective interaction of autonomous entities.
We have tried to model complex relationship between the genotypes and occurrence of DFU.
In particular, machine learning methods may allow us to model complex relationships in the microbial community related to BV. Machine learning methods are able to generate complex models describing the relationship between the microbial community and BV.
Even though this may ease the implementation of practices, this makes the model complex and difficult to understand.
The mechanism of the interconversion has been investigated by theoretical calculations based on the model complex [Ni dmpe Cl(NO2)].
The model complex MoO2Cl2L {L = ethyl[3- 2-pyridyl -1-pyrazolyl]acetate} was also synthethyl[3- 2-pyridyl -1-pyrazolyl]acetate
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