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© 2017

An Introduction to Distance Geometry applied to Molecular Geometry

Benefits

  • This is the first book that introduces key concepts in Distance Geometry to advanced undergraduate students, beginning graduate students, and professionals.

Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 1-4
  3. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 5-12
  4. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 13-20
  5. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 21-29
  6. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 31-39
  7. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 41-47
  8. Carlile Lavor, Leo Liberti, Weldon A. Lodwick, Tiago Mendonça da Costa
    Pages 49-49
  9. Back Matter
    Pages 51-54

About this book

Introduction

This book is a pedagogical presentation aimed at advanced undergraduate students, beginning graduate students and professionals who are looking for an introductory text to the field of Distance Geometry, and some of its applications. 

This versions profits from feedback acquired at undergraduate/graduate courses in seminars and a number of workshops. 

Keywords

Distance Geometry discretizable molecular distance geometry problem branch and prune algorithm NMR experiments 3D protein structures

Authors and affiliations

  1. 1.University of CampinasCampinasBrazil
  2. 2.CNRS and École PolytechniquePalaiseauFrance
  3. 3.University of Colorado DenverDenverUSA
  4. 4.University of Colorado DenverDenverUSA

Bibliographic information

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Reviews

“The authors provide a graph theoretical basis for what chemists do empirically in the laboratory when they elucidate the structure of a large molecule. … I have worked in this area of research myself and appreciate the clarity and thoroughness of the presentation of this topic. I recommend it to any computational chemist, NMR spectroscopist, or biochemist who is working on determining molecular structure.” (Anthony J. Duben, Computing Reviews, June, 2018)​