Algorithm predictions are based on different parameters such as seed match and complementarity, conservation, free energy, and site accessibility [18]. Nevertheless, even when using the most accurate predictions, those including minimum free energy [53] and/or flanking AU nucleotide content [108] ...
All heavy atom–hydrogen bonds were constrained using the SHAKE algorithm and a 2fs time step was used. Restraints to heavy atoms of the protein backbone and ligand were applied (force constant defined by consref = 4, consexp = 2) in the initial stages of the MD protocol (see below). ...
4.3. Model Setup A back propagation algorithm was used to train the neural networks. A full description of the algorithm and ANN in general is provided by Fausett [34]. Figure 9 shows the typical structure adopted for these models. After the training of the ANN the resultant connection ...
Application of neural network and genetic algorithm to powder metallurgy of pure iron. Mater. Des. 2011, 32, 3183–3188. [CrossRef] 64. Alavi, R.; Trenggono, A.; Champagne, S.; Hermawan, H. Investigation on Mechanical Behavior of Biodegradable Iron Foams under Different Compression Test ...
In contrast, several Δ6-desaturase (Δ6fad) clones showing a diet × genotype interaction (see Additional file 1) caused a significant enrichment of the GO terms oxidoreductase activity, stearoyl-CoA 9-desaturase activity, unsaturated fatty acid biosynthetic activity/metabolic processes and very long...