Computational Peptidology /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | Methods in Molecular Biology,
1268 |
| Materias: |
Tabla de Contenidos:
- 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.