Methods in Molecular Biology

Computational Peptidology

Editors: Zhou, Peng, Huang, Jian (Eds.)

Free Preview
  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
see more benefits

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4939-2285-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA in USD
  • ISBN 978-1-4939-2284-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA in USD
  • ISBN 978-1-4939-4809-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (14 chapters)

Table of contents (14 chapters)
  • De Novo Peptide Structure Prediction: An Overview

    Thévenet, Pierre (et al.)

    Pages 1-13

  • Molecular Modeling of Peptides

    Kuczera, Krzysztof

    Pages 15-41

  • Improved Methods for Classification, Prediction, and Design of Antimicrobial Peptides

    Wang, Guangshun, Ph.D.

    Pages 43-66

  • Building MHC Class II Epitope Predictor Using Machine Learning Approaches

    Eng, Loan Ping (et al.)

    Pages 67-73

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

    Shen, Tongye (et al.)

    Pages 75-87

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4939-2285-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA in USD
  • ISBN 978-1-4939-2284-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA in USD
  • ISBN 978-1-4939-4809-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Computational Peptidology
Editors
  • Peng Zhou
  • Jian Huang
Series Title
Methods in Molecular Biology
Series Volume
1268
Copyright
2015
Publisher
Humana Press
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-2285-7
DOI
10.1007/978-1-4939-2285-7
Hardcover ISBN
978-1-4939-2284-0
Softcover ISBN
978-1-4939-4809-3
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XI, 338
Number of Illustrations
26 b/w illustrations, 43 illustrations in colour
Topics