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The his6-tag and disordered residues were built back into the crystal structures using PyMOL (http://www.pymol.org), and the yielded structure models were optimized using Xplor-NIH (Schwieters et al., 2006) for optimal packing.
Both models were optimized by evolutionary computation, using a maximum likelihood estimator.
The models were optimized by potential energy minimization using the SYBYL ® software package.
The strut-and-tie models were optimized to reduce the ratio of experimental to analytical ultimate load capacity.
The developed regression models were optimized to maximize UTS of friction stir welded AA6061/AlNp composite joints.
The possible initial conformations designed by five proposed models were optimized at the generalized gradient approximation (GGA) level, with BLYP/DND methods.
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In present study, these regression models are optimized using principal component regression (PCR) method.
The models are optimized to forecast the conditional variance of the petrol prices.
Moreover, all the models are optimized by B3LYP/6-31G B3LYP/6-31Gs set using the GAMESS program package [44].
Business models are optimized for the needs of the customers they serve.
The NURBS parameters of expression model were optimized by an improved Genetic Algorithm (GA).
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