Computational Peptidology

Chapter 1 De Novo Peptide Structure Prediction: An Overview

Chapter 2 Molecular Modeling of Peptides

Chapter 3 Improved Methods for Classification, Prediction, and Design of Antimicrobial Peptides.

Chapter 4 Building MHC Class II Epitope Predictor Using Machine Learning Approaches

Chapter 5 Brownian Dynamics Simulation of Peptides with the University of Houston Brownian Dynamics (UHBD) Program

Chapter 6 Computational Prediction of Short Linear Motifs from Protein Sequences

Chapter 7 Peptide Toxicity Prediction

Chapter 9 In Silico Design of Antimicrobial Peptides.

Chapter 10 Information-driven modeling of protein-Peptide complexes.

Chapter 11 Computational Approaches to Developing Short Cyclic Peptide Modulators of Protein–Protein Interactions

Chapter 12 A Use of Homology Modeling and Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol and Bisphenol A with Antioxidant Enzymes

Chapter 13 Computational Peptide Vaccinology

Chapter 14 Computational Modeling of Peptide–Aptamer Binding