Skip to main content

QSAR of anti-inflammatory drugs

The computer analysis of relations between molecular structures and their biological activity using fragment-based methods is very useful to draw conclusions for the understanding of drug action and for the development of more efficient non-toxic drug candidates.

We used the computer system SARD-21 (Structure Activity Relationship & Design) to investigate common structural features (fragments and substituents) typical for high- and low-effective non-steroid anti-inflammatory drugs (NSAIDs) succesfully.

This derived information has been used for the model for prediction of anti-inflammatory effectiveness of medicines with 76% and 81% level of recognition by two methods. This information could be used for creating new highly effective NSAIDs, and for increasing effectiveness of already known components.

In a second part of this paper the interrelation between structure and efficacy for anti-inflammatory drug action is carried out using traditional QSAR with descriptors from topology and from quantum-mechanical calculations followed by regression models from modelling.

The aim of this paper is to compare both molecular approaches of molecular design of drugs.


  1. 1.

    Khayrullina VR, et al: Russ Chem Bull, Int Ed. 2006, 55: 1-10.1007/s11172-006-0208-0.

    Article  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Veronica R Khayrullina.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Khayrullina, V.R., Bögel, H. QSAR of anti-inflammatory drugs. J Cheminform 2, P45 (2010).

Download citation


  • Regression Model
  • Structural Feature
  • Computer System
  • Drug Action
  • Computer Analysis