Editor: Carlos Polanco

Polarity index in Proteins-A Bioinformatics Tool

eBook: US $39 Special Offer (PDF + Printed Copy): US $157
Printed Copy: US $137
Library License: US $156
ISBN: 978-1-68108-270-7 (Print)
ISBN: 978-1-68108-269-1 (Online)
Year of Publication: 2016
DOI: 10.2174/97816810826911160101

Introduction

Polarity is a physico-chemical property that characterizes the electromagnetic stability of a protein and can be used to predict its plausible pathogenic action. For this reason, polarity is regarded as a major factor in most mathematical-computational algorithms that seek to characterize peptides and proteins. The Polarity Index Method makes it possible to reproduce the main classification of peptide proteins found in different databases, with a high degree of discriminative efficiency.

Polarity Index In Proteins is a brief monograph that explains the foundations of the polarity index method and presents examples of the application of this method for identifying the structural and functional relationships of different types of proteins (including cell penetrating peptides and natively unfolded proteins).

The monograph is divided into sections that cover basic protein biochemistry, the computational mathematical foundations of the polarity index method, the application of the method on different protein structures, and the evaluation of the results of famous experiments on biogenesis (Miller & Urey, Fox & Harada, Rode) by the same method. Polarity Index In Proteins serves as an essential handbook for students and researchers in the field of bioinformatics, proteomics as well as for studies on the role of proteins in the origin of life.

Indexed in: Book Citation Index, Science Edition, BIOSIS Previews, EBSCO.

Foreword

- Pp. i
Jorge Alberto Castanon Gonzalez
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Preface

- Pp. ii-iii (2)
Carlos Polanco
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Acknowledgements

- Pp. iv
Carlos Polanco
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Acronyms

- Pp. v
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Macromolecules

- Pp. 3-14 (12)
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Electromagnetic Stability

- Pp. 15-21 (7)
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Polarity Index Method

- Pp. 22-27 (6)
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Mathematical Foundation

- Pp. 28-32 (5)
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Computational Implementation

- Pp. 33-35 (3)
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Pathogenic Bacteria

- Pp. 36-49 (14)
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Cell Penetrating Peptides

- Pp. 50-58 (9)
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Amyloid Proteins

- Pp. 59-70 (12)
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Globular & Fibrous Proteins

- Pp. 71-76 (6)
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Biogenetic Experiments

- Pp. 77-88 (12)
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Future Directions

- Pp. 89-92 (4)
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Appendix A-Computational Tools

- Pp. 93-105 (13)
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Appendix B-Protein Databases

- Pp. 106-107 (2)
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Glossary

- Pp. 108-113 (6)
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Subject Index

- Pp. 114-116 (3)
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