Skip to main content
SpringerLink
Log in
Birkhäuser

The Protein Folding Problem and Tertiary Structure Prediction

  • Book
  • © 1994

Overview

Editors:
  1. Kenneth M. Merz

    1. Department of Chemistry, The Pennsylvania State University, University Park, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Scott M. Grand

    1. Department of Chemistry, The Pennsylvania State University, University Park, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (16 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Modeling Side Chains in Peptides and Proteins with the Locally Enhanced Sampling/Simulated Annealing Method

    • Adrian Roitberg, Ron Elber
    Pages 1-41

  3. Conformation Searching Using Simulated Annealing

    • Stephen R. Wilson, Weili Cui
    Pages 43-70

  4. Multiple-Start Monte Carlo Docking of Flexible Ligands

    • Trevor N. Hart, Randy J. Read
    Pages 71-108

  5. The Genetic Algorithm and Protein Tertiary Structure Prediction

    • Scott M. Le Grand, Kenneth M. Merz Jr.
    Pages 109-124

  6. Conformational Search and Protein Folding

    • Robert E. Bruccoleri
    Pages 125-163

  7. Building Protein Folds Using Distance Geometry: Towards a General Modeling and Prediction Method

    • William R. Taylor, András Aszódi
    Pages 165-192

  8. Molecular Dynamics Studies of Protein and Peptide Folding and Unfolding

    • Amedeo Caflisch, Martin Karplus
    Pages 193-230

  9. Contact Potential for Global Identification of Correct Protein Folding

    • Gordon M. Crippen, Vladimir N. Maiorov
    Pages 231-277

  10. Neural Networks for Molecular Sequence Classification

    • Cathy H. Wu
    Pages 279-305

  11. The “Dead-End Elimination” Theorem: A New Approach to the Side-Chain Packing Problem

    • Johan Desmet, Marc De Maeyer, Ignace Lasters
    Pages 307-337

  12. Short Structural Motifs: Definition, Identification, and Applications

    • Ron Unger
    Pages 339-351

  13. In Search of Protein Folds

    • Manfred J. Sippl, Sabine Weitckus, Hannes Flöckner
    Pages 353-407

  14. An Adaptive Branch-and-Bound Minimization Method Based on Dynamic Programming

    • Sandor Vajda, Charles Delisi
    Pages 409-432

  15. Computational Complexity, Protein Structure Prediction, and the Levinthal Paradox

    • J. Thomas Ngo, Joe Marks, Martin Karplus
    Pages 433-506

  16. Toward Quantitative Protein Structure Prediction

    • Teresa Head-Gordon
    Pages 507-548

  17. The Role of Interior Side-Chain Packing in Protein Folding and Stability

    • James H. Hurley
    Pages 549-578

  18. Back Matter

    Pages 579-581
    Download chapter PDF
Back to top

Keywords

About this book

A solution to the protein folding problem has eluded researchers for more than 30 years. The stakes are high. Such a solution will make 40,000 more tertiary structures available for immediate study by translating the DNA sequence information in the sequence databases into three-dimensional protein structures. This translation will be indispensable for the analy­ sis of results from the Human Genome Project, de novo protein design, and many other areas of biotechnological research. Finally, an in-depth study of the rules of protein folding should provide vital clues to the protein fold­ ing process. The search for these rules is therefore an important objective for theoretical molecular biology. Both experimental and theoretical ap­ proaches have been used in the search for a solution, with many promising results but no general solution. In recent years, there has been an exponen­ tial increase in the power of computers. This has triggered an incredible outburst of theoretical approaches to solving the protein folding problem ranging from molecular dynamics-based studies of proteins in solution to the actual prediction of protein structures from first principles. This volume attempts to present a concise overview of these advances. Adrian Roitberg and Ron Elber describe the locally enhanced sam­ pling/simulated annealing conformational search algorithm (Chapter 1), which is potentially useful for the rapid conformational search of larger molecular systems.

Editors and Affiliations

  • Department of Chemistry, The Pennsylvania State University, University Park, USA

    Kenneth M. Merz, Scott M. Grand

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation