Computational Intelligence in Protein-Ligand Interaction Analysis
presents computational techniques for predicting protein-ligand
interactions, recognizing protein interaction sites, and
identifying protein drug targets. The book emphasizes novel
approaches to protein-ligand interactions, including machine
learning and deep learning, presenting a state-of-the-art suite of
skills for researchers. The volume represents a resource for
scientists, detailing the fundamentals of computational methods,
showing how to use computational algorithms to study protein
interaction data, and giving scientific explanations for biological
data through computational intelligence. Fourteen chapters offer a
comprehensive guide to protein interaction data and computational
intelligence methods for protein-ligand interactions.
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