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In this study, the best probable model was developed by employing the Artificial Neural Network (ANN) and training this network using Levenberg Marquardt (LM), Genetic algorithm (GA), and Particle Swarm Optimization (PSO).
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This study aims to investigate the best probable epitopes from fiber, hexon and penton base proteins as well as probable drug targets to prevent and to cure adenovirus infection, respectively.
The most probable model is chosen according to a decision algorithm.
And that logic dictated the best probable path for achieving success.
Ten independent reconstructions yielded reproducible models and the average model and the most probable model are displayed in figure 3C.
The model with the lowest test statistic is the most probable model.
Each docking returned the 100 most probable models from unbound monomer components.
"Typical", best fit model dendrite.
The best fit model was chosen.
The best role model is still you !
Docking simulation was further performed to determine the probable binding model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com