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Molecular Modeling and Simulation: An Interdisciplinary Guide

An Interdisciplinary Guide

  • Tamar Schlick

Part of the Interdisciplinary Applied Mathematics book series (IAM, volume 21)

Table of contents

  1. Front Matter
    Pages i-xlv
  2. Tamar Schlick
    Pages 77-104
  3. Tamar Schlick
    Pages 105-128
  4. Tamar Schlick
    Pages 129-162
  5. Tamar Schlick
    Pages 265-298
  6. Tamar Schlick
    Pages 299-344
  7. Tamar Schlick
    Pages 385-423
  8. Tamar Schlick
    Pages 425-461
  9. Tamar Schlick
    Pages 463-517
  10. Tamar Schlick
    Pages 519-553
  11. Back Matter
    Pages 555-723

About this book

Introduction

Review of previous edition: “I am often asked by physicists, mathematicians and engineers to recommend a book that would be useful to get them started in computational molecular biology. I am also often approached by my colleagues in computational biology to recommend a solid textbook for a graduate course in the area. Tamar Schlick has written the book that I will be recommending to both groups. Tamar has done an amazing job in writing a book that is both suitably accessible for beginners, and suitably rigorous for experts.” J. J. Collins, Boston University, USA. “Molecular modeling … is now an important branch of modern biochemistry. … Schlick has brought her unique interdisciplinary expertise to the subject. … One of the most distinguished characteristics of the book is that it makes the reading really fun … and the material accessible. … a crystal clear logical presentation … . Schlick has added a unique title to the collection of mathematical biology textbooks … . a valuable introduction to the field of computational molecular modeling. It is a unique textbook … .” Hong Qian, SIAM Review, 2005.

Keywords

DNA Molecular Modeling Multivariat computational biology computational molecular biology design molecular biology optimization

Authors and affiliations

  • Tamar Schlick
    • 1
  1. 1.Courant Inst. Mathematical Sciences, Dept. ChemistryNew York UniversityNew YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-6351-2
  • Copyright Information Springer-Verlag New York 2010
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4419-6350-5
  • Online ISBN 978-1-4419-6351-2
  • Series Print ISSN 0939-6047
  • Buy this book on publisher's site