Computational Peptidology

Häftad, Engelska, 2016

689 kr

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In this volume expert researchers detail in silico methods widely used to study peptides. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials.

Produktinformation

Utgivningsdatum2016-09-24
Mått178 x 254 x 18 mm
Vikt742 g
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor338
FörlagHumana Press Inc.
ISBN9781493948093

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik
Biokemi inom Naturvetenskap och teknik

De Novo Peptide Structure Prediction: An Overview.- Molecular Modeling of Peptides.- Improved Methods for Classification, Prediction, and Design of Antimicrobial Peptides .- Building MHC Class II Epitope Predictor Using Machine Learning Approaches.- Dynamics (UHBD) Program.- Computational Prediction of Short Linear Motifs from Protein Sequences.- Peptide Toxicity Prediction.- Synthetica Structural Routes For The Rational Conversion of Peptides Into Small Molecules.- In Silico Design Of Antimicrobial Peptides.- Information-Driven Modelling Of Protein-Peptide Complexes “Information-Driven Peptide Docking”.- Computational Approaches To Developing Short Cyclic Peptide Modulators Of Protein-Protein Interactions.- A Use of Homology Modeling And Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol And Bisphenol a with Antioxidant Enzymes.- Computational Peptide Vaccinology.- Computational Modeling Of Peptide-Aptamer Binding.