Buch, Englisch, Band 1268, 338 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 8842 g
Reihe: Methods in Molecular Biology
Buch, Englisch, Band 1268, 338 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 8842 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-2284-0
Verlag: Springer
Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.