Titlebook: Computational Peptidology; Peng Zhou,Jian Huang Book 2015 Springer Science+Business Media New York 2015 Peptide.bioinformatics.computation

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,Computational Modeling of Peptide–Aptamer Binding,ances it is now possible not only to quantify the end results but also visualize, analyze, and fully understand mechanisms by gaining deeper insights. The biomolecular motion that exists governing the physical and chemical phenomena can now be analyzed with the advent of computational modeling. Ever

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De Novo Peptide Structure Prediction: An Overview,novo structure peptide prediction has, in the past few years, made significant progresses that make reasonable, for peptides up to 50 amino acids, its use for the fast identification of their structural topologies. Here, we introduce some of the concepts underlying approaches of the field, together

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Building MHC Class II Epitope Predictor Using Machine Learning Approaches,been accelerated with the use of bioinformatics tools to aid in the prediction of peptide binding to MHC class II molecules and also to systematically scan for candidate peptides in antigenic proteins. There have been many prediction software developed over the years using various methods and algori