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This information can be used to generate a structural model of a protein using computational methods.
However, since it is not possible to study this large number of compounds experimentally it is necessary to use computational methods to evaluate them.
As well, we can use computational methods to develop predictive models.
In silico studies use computational methods to study proteins.
The depths of the cracks were evaluated using a computational inversion method developed on the basis of k-nearest neighbor algorithm.
The capacity given in (36) is evaluated using Monte Carlo numerical computational method to investigate the accuracy of the Gaussian approximations in a Nakagami and Rician fading environment.
The survey was evaluated using mixed methods.
Costs were evaluated using descriptive methods.
Context processing in schizophrenia was evaluated using a computational model of the MTL.
Plasma levels of fatty acid protein transporters were also evaluated using ELISA method.
Selectivity was evaluated using the recovery method.
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