Computational Peptidology

 
 
Humana Press Inc.
  • erschienen am 24. September 2016
 
  • Buch
  • |
  • Softcover
  • |
  • 338 Seiten
978-1-4939-4809-3 (ISBN)
 

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.

Softcover Repri
  • Englisch
  • NY
  • |
  • USA
  • Für Beruf und Forschung
  • 26 s/w Abbildungen, 43 farbige Abbildungen, 35 s/w Tabellen
  • |
  • 35 Tables, black and white; 43 Illustrations, color; 26 Illustrations, black and white; XI, 338 p. 69 illus., 43 illus. in color.
  • Höhe: 25.4 cm
  • |
  • Breite: 17.8 cm
  • 7407 gr
978-1-4939-4809-3 (9781493948093)
10.1007/978-1-4939-2285-7
weitere Ausgaben werden ermittelt
1. De Novo Peptide Structure Prediction: An OverviewPierre Thévenet, Julien Rey, Gautier Moroy, and Pierre Tuffery 2. Molecular Modeling of PeptidesKrzysztof Kuczera 3. Improved Methods for Classification, Prediction, and Design of Antimicrobial Peptides Guangshun Wang 4. Building MHC Class II Epitope Predictor Using Machine Learning ApproachesLoan Ping Eng, Tin Wee Tan, And Joo Chuan Tong 5. Brownian Dynamics Simulation Of Peptides with The University of Houston Brownian Dynamics (UHBD) ProgramTongye Shen and Chung F. Wong 6. Computational Prediction of Short Linear Motifs from Protein SequencesRichard J. Edwards And Nicolas Palopoli 7. Peptide Toxicity PredictionSudheer Gupta, Pallavi Kappor, Kumardeep Chaudhary, Ankur Gautam, Rahul Kumar, Gajendra P.S. Raghava 8. Synthetica Structural Routes For The Rational Conversion of Peptides Into Small MoleculesPasqualina Liana Scognamiglio, Giancarlo Morelli, and Daniela Marasco 9. In Silico Design Of Antimicrobial PeptidesGiuseppe Maccari, Mariagrazia Di Luca, and Riccardo Nifosì 10. Information-Driven Modelling Of Protein-Peptide Complexes"Information-Driven Peptide Docking"Mikael Trellet, Adrien S.J. Melquiond, and Alexandre M.J.J. Bonvin 11. Computational Approaches To Developing Short Cyclic Peptide Modulators Of Protein-Protein InteractionsFergal J. Duffy, Marc Devocelle, and Denis C. Shields 12. A Use of Homology Modeling And Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol And Bisphenol a with Antioxidant EnzymesMannu Jayakanthan, Rajamanickam Jubendradass, Shereen Cynthia D'Cruz, and Premendu P. Mathur 13. Computational Peptide VaccinologyJohannes Söllner 14. Computational Modeling Of Peptide-Aptamer BindingKristen L. Rhinehardt, Ram V. Mohan, and Goundla Srinivas
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.

Versand in 15-20 Tagen

101,64 €
inkl. 7% MwSt.
In den Warenkorb