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  • © 2003

An Introduction to Protein Informatics

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 749)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xviii
  2. Proteins

    • Karl-Heinz Zimmermann
    Pages 1-22
  3. Biosynthesis

    • Karl-Heinz Zimmermann
    Pages 23-46
  4. Pairwise Sequence Alignment

    • Karl-Heinz Zimmermann
    Pages 47-74
  5. Multiple Sequence Alignment

    • Karl-Heinz Zimmermann
    Pages 75-98
  6. Phylogenetic Trees

    • Karl-Heinz Zimmermann
    Pages 99-136
  7. Secondary Structure Prediction

    • Karl-Heinz Zimmermann
    Pages 137-168
  8. Tertiary Structure Prediction

    • Karl-Heinz Zimmermann
    Pages 169-216
  9. Stochastic Sampling Methods

    • Karl-Heinz Zimmermann
    Pages 217-248
  10. Back Matter

    Pages 249-281

About this book

Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are related to proteins. While bioinformatics is mainly concerned with the collection, organization, and analysis of biological data, molecular modeling is devoted to representation and manipulation of the structure of proteins.

Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory.

An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure.

An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine.

Authors and Affiliations

  • Technical University Hamburg-Harburg, Germany

    Karl-Heinz Zimmermann

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access