Flyer

International Journal of Drug Development and Research

  • ISSN: 0975-9344
  • Journal h-index: 51
  • Journal CiteScore: 46.50
  • Journal Impact Factor: 26.99
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • Genamics JournalSeek
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Scimago
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Publons
  • MIAR
  • University Grants Commission
  • Euro Pub
  • Google Scholar
  • J-Gate
  • SHERPA ROMEO
  • Secret Search Engine Labs
  • ResearchGate
  • International Committee of Medical Journal Editors (ICMJE)
Share This Page

Abstract

QSAR Modelling of PDE5 Inhibitory Activity of Tetracyclic Guanine Derivatives as Antihypertensive Agents

Anupama Mittal, Mukta Sharma and Aarti Singh

A linear and non-linear quantitative structure-activity relationship (QSAR) study is presented for modelling and predicting PDE5 inhibitory activity. A data set consisted of 32 derivatives of tetracyclic guanine was used in this study. Statistical analysis techniques, such as Multiple Linear Regression (MLR), Partial Least-Squares (PLS) Regression and Neural Network (NN) were carried out to calibrate and validate QSAR model. Leave one out method was used to get stable MLR-QSAR with high predictivity: r=0.92, r2=0.85, r2 cv=0.75 and comparable value of cross validated correlation coefficient r2cv=0.78 of PLS in order to predict the robustness of the model. The results obtained by forward feed neural network explained the effect of electronic, hydrophobic and topological descriptors on the biological activity.