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  • Prashanth N Suravajhala Prashanth N Suravajhala [Send a message]
    Member since: February 06, 2001
    I am passionate in applying functional genomic approaches to the existing systems biology approaches, thereby understanding the genomes better. Specifically, my interests have been into hypothetical proteins targeted to mitochondria. More:
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    Etc: Simon Gladman dies
    Submitted by Prashanth N Suravajhala; posted on Monday, December 05, 2022
    Only the 10 most recent are shown. [Show all]
    Curriculum vitae

    Current address:

    Birla Institute of Scientific Research
    Statue Circle
    Jaipur, RJ


    Aalborg University, Denmark 2012
    M.Sc. Biotechnology
    Guru Ghasidas University, Bilaspur, India
    2000 - 2002

    1997 - 2000


    Postdoc University of Copenhagen 2014 - 2015
    Visiting Collaborative Researcher Protein Data bank of Japan; SANBI Cape Town; CDAC, Pune 2008 - 2012
    Associate Research fellow Roskilde University, Denmark 2004 - 2008


    PHP and Linux

    Common Molecular Biology technique

    Activities:, Bioinformatics.Org and


    Functional annotation of hypothetical proteins, long non-coding RNAs

    Protein-Protein Interactions

    Quantitative Genomics and Systems Biology


    Suravajhala P, Kogelman LJ, Mazzoni G, Kadarmideen HN. Potential role of lncRNA cyp2c91-protein interactions on diseases of the immune system. Front Genet. 2015 Jul 28;6:255

    Shukla N, Prasad A, Kanga U, Suravajhala R, Nigam VK, Kishor PK, Polavarapu R, Chaubey G, Singh KK, Suravajhala P. SARS-CoV-2 Transgressing LncRNAs Uncovers the Known Unknowns. Physiol Genomics. 2021 Sep 7

    Alfredo Benso, Stefano Di Carlo, Hafeez ur Rehman*, Gianfranco Politano, Alessandro Savino and Prashanth Suravajhala. A combined approach for genome wide protein function annotation/prediction. Proteome Science 2013, 11(Suppl 1):S1

    Claus Desler*, Sine Zambach*, Prashanth Suravajhala*, Lene Juel Rasmussen. Introducing the hypothome. A way to integrate predicted proteins in interactomes. Int. J. Bioinformatics Research and Applications 2014, 10

    Dashtban M, Balafar M, Suravajhala P.Gene selection for tumor classification using a novel bio-inspired multi-objective approach. Genomics. 2017 Aug 3



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