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High-Performance Computational Solutions in Protein Bioinformatics

  • Dariusz Mrozek

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

About this book

Introduction

Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels, and various techniques that can be used to accelerate similarity searches. Divided into four parts, the first part provides a formal model of 3D protein structures for functional genomics, comparative bioinformatics, and molecular modeling. The second part focuses on the use of multithreading for efficient approximate searching on protein secondary structures. The third and fourth parts concentrate on finding 3D protein structure similarities with the support of GPUs and cloud computing. Parts three and four both describe the acceleration of different methods. The text will be of interest to researchers and software developers working in the field of structural bioinformatics and biomedical databases.

Keywords

Amino Acid Sequence Bioinformatics Cloud Computing GPU, CUDA Multi-Agent Systems Multithreaded Processing Parallel Processing Protein Structure Proteins

Authors and affiliations

  • Dariusz Mrozek
    • 1
  1. 1.Institue of InformaticsSilesian University of TechnologyGliwicePoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06971-5
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06970-8
  • Online ISBN 978-3-319-06971-5
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
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