Rational drug design of antineoplastic agents using 3D-QSAR, cheminformatic, and virtual screening approaches

Jelica Vucicevic, Katarina Nikolic*, John B. O. Mitchell*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)

Abstract

Background: Computer-Aided Drug Design has strongly accelerated the development of novel antineoplastic agents by helping in the hit identification, optimization, and evaluation. Results: Computational approaches such as cheminformatic search, virtual screening, pharmacophore modeling, molecular docking and dynamics have been developed and applied to explain the activity of bioactive molecules, design novel agents, increase the success rate of drug research, and decrease the total costs of drug discovery. Similarity searches and virtual screening are used to identify molecules with an increased probability to interact with drug targets of interest, while the other computational approaches are applied for the design and evaluation of molecules with enhanced activity and improved safety profile. Conclusion: In this review are described the main in silico techniques used in rational drug design of antineoplastic agents and presented optimal combinations of computational methods for design of more efficient antineoplastic drugs.
Original languageEnglish
Pages (from-to)3874-3889
Number of pages16
JournalCurrent Medicinal Chemistry
Volume26
Issue number21
Early online date12 Jul 2017
DOIs
Publication statusPublished - 2019

Keywords

  • Antineoplastic agents
  • Pharmacophore
  • GSAR
  • Rational drug design
  • Cheminformatics
  • Virtual screening
  • Virtual docking

Fingerprint

Dive into the research topics of 'Rational drug design of antineoplastic agents using 3D-QSAR, cheminformatic, and virtual screening approaches'. Together they form a unique fingerprint.

Cite this