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Computational Strategies Towards Improved Protein Function Prophecy of Xylanases from Thermomyces lanuginosus

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  • © 2012

Overview

  • One of the first reports showing stable, energy efficient model towards improved protein function prediction screening in-silico structure based mutagenesis of xylanases from Thermomyces lanuginosus
  • Discusses computational strategies towards improved protein function prophecy and insilico structure based mutagenesis of xylanases from Thermomyces lanuginosus
  • Describes the computational design of family 11 xylanase (endo-1,4-ß-xylanase) from Thermomyces lanuginosus
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Systems Biology (BRIEFSBIOSYS)

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Table of contents (5 chapters)

Keywords

About this book

This Brief reports on the interplay of an amino-acid mutation towards substrate which could lead to enhanced effects on mutant. These effects need  to  be given consideration in  the  engineering  processes of protein stability and further exploration of such learning are required to provide novel indication for selection of an enzymes.  There  are  very  few  reports  showing  such  stable,  energy  efficient  model  towards  improved  protein function prediction screening in-silico structure based mutagenesis of xylanases from Thermomyces lanuginosus​

Authors and Affiliations

  • Enzyme Technology Laboratory, Department of Biotechnology, Birla Institute of Technology, Mesra, India

    MVK Karthik

  • , Department of Microbiology, Maharshi Dayanand University, Rohtak, India

    Pratyoosh Shukla

Bibliographic Information

  • Book Title: Computational Strategies Towards Improved Protein Function Prophecy of Xylanases from Thermomyces lanuginosus

  • Authors: MVK Karthik, Pratyoosh Shukla

  • Series Title: SpringerBriefs in Systems Biology

  • DOI: https://doi.org/10.1007/978-1-4614-4723-8

  • Publisher: Springer New York, NY

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: The Author(s) 2012

  • Softcover ISBN: 978-1-4614-4722-1Published: 14 July 2012

  • eBook ISBN: 978-1-4614-4723-8Published: 13 July 2012

  • Series ISSN: 2193-4746

  • Series E-ISSN: 2193-4754

  • Edition Number: 1

  • Number of Pages: VII, 44

  • Number of Illustrations: 12 illustrations in colour

  • Topics: Bioinformatics, Enzymology, Protein Science

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