Titlebook: Artificial Neural Networks; Hugh Cartwright Book 2015Latest edition Springer Science+Business Media New York 2015 ANN.Artificial Intellige

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Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program ,,e range of structural factors, and the artificial neural network based TALOS-N program has been trained to extract backbone and side-chain torsion angles from .H, .N, and .C shifts. The program is quite robust and typically yields backbone torsion angles for more than 90 % of the residues and side-c

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A General ANN-Based Multitasking Model for the Discovery of Potent and Safer Antibacterial Agents,Given the prevalence of these microbial pathogens and their increasing resistance to existing antibiotics, there is a pressing need for new antibacterial drugs. However, development of a successful drug is a complex, costly, and time-consuming process. Quantitative Structure-Activity Relationships (

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Use of Artificial Neural Networks in the QSAR Prediction of Physicochemical Properties and Toxicitir imported into the EU at levels of 1 tonne/year or more. This has meant an increase in the in silico prediction of such data. One of the chief predictive approaches is QSAR (quantitative structure–activity relationships), which is widely used in many fields..A QSAR approach that is increasingly bei