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Computational Protein Design

  • Ilan Samish

Part of the Methods in Molecular Biology book series (MIMB, volume 1529)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Computational Protein Design

    1. Front Matter
      Pages 1-1
    2. Seydou Traoré, David Allouche, Isabelle André, Thomas Schiex, Sophie Barbe
      Pages 107-123
    3. Miguel Romero-Durana, Chiara Pallara, Fabian Glaser, Juan Fernández-Recio
      Pages 139-159
    4. James A. Davey, Roberto A. Chica
      Pages 161-179
    5. Henrique F. Carvalho, Arménio J. M. Barbosa, Ana C. A. Roque, Olga Iranzo, Ricardo J. F. Branco
      Pages 181-201
    6. Vincent Frappier, Matthieu Chartier, Rafael Najmanovich
      Pages 203-214
  3. Software of Computational Protein Design Applications

    1. Front Matter
      Pages 215-215
    2. Cheng Zhu, David D. Mowrey, Nikolay V. Dokholyan
      Pages 227-241
    3. Jeffrey R. Brender, David Shultis, Naureen Aslam Khattak, Yang Zhang
      Pages 243-264
    4. Yichao Zhou, Bruce R. Donald, Jianyang Zeng
      Pages 265-277
    5. Adegoke Ojewole, Anna Lowegard, Pablo Gainza, Stephanie M. Reeve, Ivelin Georgiev, Amy C. Anderson et al.
      Pages 291-306
  4. Computational Protein Design of Specific Targets

    1. Front Matter
      Pages 307-307
    2. Arnout R. D. Voet, David Simoncini, Jeremy R. H. Tame, Kam Y. J. Zhang
      Pages 309-322
    3. Nurit Haspel, Jie Zheng, Carlos Aleman, David Zanuy, Ruth Nussinov
      Pages 323-352
    4. Wenxun Gan, Dina Schneidman, Ning Zhang, Buyong Ma, Ruth Nussinov
      Pages 353-362
    5. Christine E. Tinberg, Sagar D. Khare
      Pages 363-373
    6. Yoonjoo Choi, Deeptak Verma, Karl E. Griswold, Chris Bailey-Kellogg
      Pages 375-398
    7. Konrad Krawczyk, James Dunbar, Charlotte M. Deane
      Pages 399-416
    8. Armando Jerome de Jesus, Hang Yin
      Pages 417-437
  5. Back Matter
    Pages 447-450

About this book

Introduction

The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.

Keywords

designed protein Dead-End-Elimination (DEE) protein-protein complexes molecular dynamics normal mode analysis drug-resistance mutations symmetric proteins synthetic amino acids

Editors and affiliations

  • Ilan Samish
    • 1
  1. 1.Department of Plants and Environmental SciencesWeizmann Institute of ScienceRehovotIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-6637-0
  • Copyright Information Springer Science+Business Media New York 2017
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-6635-6
  • Online ISBN 978-1-4939-6637-0
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site