Dr Seneha Santoshi

Asst. Professor (Grade - II)

Amity Institute of Biotechnology
 
  • Qualifications

    Graduation : B.Tech(Bioinformatics)-2009,Jaypee Univ. of Information Technology

    Post Graduation : M.Tech(Biotechnology)-2010,Jaypee Univ. of Information Technology

    Doctorate : Ph.D.(Bioinformatics)-2014,Jaypee Univ. of Information Technology

  • Experience

    11 May 2015 - Present
    Asst. Professor (Grade - II),
    Amity Institute of Biotechnology

    16 Jul 2010 - 30 Apr 2014
    Teaching Assistant,
    Jaypee University of Information Technology,
    Solan

  • Current Courses Taught

    Bioinformatics and Computational Biology

    Molecular Modelling and Computer Aided Drug Design

  • Publications

    Rational design of biaryl pharmacophore substituted noscapine derivatives as potent tubulin binding anticancer agents. Journal of computer aided Molecular design. ,
    Springer

    Molecular insight of isotypes specific ß-tubulin interaction of tubulin heterodimer with noscapinoids ,
    Springer

    Rational design of biaryl pharmacophore substituted noscapine derivatives as potent tubulin binding anticancer agents. Journal of computer aided Molecular design. ,
    Springer

    Rational design, synthesis and biological evaluation of third generation a-Noscapine analogues as potent tubulin binding anti-cancer agents. ,
    PLOS

    Rational design of novel anti-microtubule agent (9-azido-noscapine) from quantitative structure activity relationship (QSAR) evaluation of noscapinoids. ,
    Journal of Biomolecular Screening

    Noscapinoids: A three dimensional chemical space pharmacophore modeling and electronic feature analysis with anti-cancer activity against human acute lymphoblastic leukemia cells (CEM). ,
    Journal of Molecular Modeling

    Molecular modelling and competition binding of Br-noscapine and colchicine provides insight into noscapinoid-tubulin binding site. ,
    Journal of Molecular Graphics and Modeling,

    Evaluation of structure activity relationship of Noscapinoids utilizing field based 3D QSAR modeling ,
    Int. J. Fundamental Applied Sci

    Computational prediction of potent therapeutic targets of Pseudomonas aeruginosa and in silico virtual screening for novel inhibitors. ,
    Internet Electronic Journal of Molecular Design

    Computational prediction of potent therapeutic targets of Pseudomonas syringae and in silico virtual screening for novel inhibitors. ,
    International Journal of Pharma and Bio Sciences

  • Activities

    Gold medalist In M.Tech

  • Short Description

    I have completed my Ph.D in the field of Bioinformatics.