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  • Book
  • © 2011

Protein Function Prediction for Omics Era

Editors:

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  • The first book which focus on describing state-of-the-art function prediction methods

  • Probably the first book which points out that the role of function prediction has been changing for analyzing omics type large scale data, rather than function of a small set of individual genes of interest

  • Observes emerging development of computational gene function prediction methods

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eBook
USD 179.00
Price excludes VAT (USA)
  • ISBN: 978-94-007-0881-5
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  • Tax calculation will be finalised during checkout
Softcover Book
USD 229.99
Price excludes VAT (USA)
Hardcover Book
USD 279.99
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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiii
  2. Computational Protein Function Prediction: Framework and Challenges

    • Meghana Chitale, Daisuke Kihara
    Pages 1-17
  3. Gene Cluster Prediction and Its Application to Genome Annotation

    • Vikas Rao Pejaver, Heewook Lee, Sun Kim
    Pages 35-54
  4. Predicting Protein Functional Sites with Phylogenetic Motifs: Past, Present and Beyond

    • Dennis R. Livesay, Dukka Bahadur KC, David La
    Pages 93-105
  5. Exploiting Protein Structures to Predict Protein Functions

    • Alison Cuff, Oliver Redfern, Benoit Dessailly, Christine Orengo
    Pages 107-123
  6. Protein Binding Ligand Prediction Using Moments-Based Methods

    • Rayan Chikhi, Lee Sael, Daisuke Kihara
    Pages 145-163
  7. Electrostatic Properties for Protein Functional Site Prediction

    • Joslynn S. Lee, Mary Jo Ondrechen
    Pages 183-196
  8. Function Prediction of Genes: From Molecular Function to Cellular Function

    • Kengo Kinoshita, Takeshi Obayashi
    Pages 197-214
  9. Predicting Gene Function Using Omics Data: From Data Preparation to Data Integration

    • Weidong Tian, Xinran Dong, Yuanpeng Zhou, Ren Ren
    Pages 215-242
  10. Protein Function Prediction Using Protein–Protein Interaction Networks

    • Hon Nian Chua, Guimei Liu, Limsoon Wong
    Pages 243-270
  11. KEGG and GenomeNet Resources for Predicting Protein Function from Omics Data Including KEGG PLANT Resource

    • Toshiaki Tokimatsu, Masaaki Kotera, Susumu Goto, Minoru Kanehisa
    Pages 271-288
  12. Towards Elucidation of the Escherichia coli K-12 Unknowneome

    • Yukako Tohsato, Natsuko Yamamoto, Toru Nakayashiki, Rikiya Takeuchi, Barry L. Wanner, Hirotada Mori
    Pages 289-305
  13. Back Matter

    Pages 307-310

About this book

Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred

Keywords

  • Proteomics

Editors and Affiliations

  • Dept. Biological Science, Purdue University, West Lafayette, USA

    Daisuke Kihara

Bibliographic Information

Buying options

eBook
USD 179.00
Price excludes VAT (USA)
  • ISBN: 978-94-007-0881-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 229.99
Price excludes VAT (USA)
Hardcover Book
USD 279.99
Price excludes VAT (USA)