Computational Peptidology -

Computational Peptidology

Peng Zhou, Jian Huang (Herausgeber)

Buch | Softcover
338 Seiten
2016 | Softcover reprint of the original 1st ed. 2015
Humana Press Inc. (Verlag)
978-1-4939-4809-3 (ISBN)
53,49 inkl. MwSt
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.
In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. 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. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.

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.

Erscheinungsdatum
Reihe/Serie Methods in Molecular Biology ; 1268
Zusatzinfo 43 Illustrations, color; 26 Illustrations, black and white; XI, 338 p. 69 illus., 43 illus. in color.
Verlagsort Totowa, NJ
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Informatik Weitere Themen Bioinformatik
Naturwissenschaften Biologie Biochemie
Naturwissenschaften Biologie Mikrobiologie / Immunologie
Schlagworte Bioinformatics • Computational Biology • Molecular Modeling • Peptide • peptide interaction • peptide therapeutics • peptidic drug design • peptidology • protein interaction
ISBN-10 1-4939-4809-1 / 1493948091
ISBN-13 978-1-4939-4809-3 / 9781493948093
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich

von Nadine Reinicke

Buch | Softcover (2021)
Urban & Fischer in Elsevier (Verlag)
19,00