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QSAR of anti-inflammatory drugs
Journal of Cheminformatics volume 2, Article number: P45 (2010)
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.
Khayrullina VR, et al: Russ Chem Bull, Int Ed. 2006, 55: 1-10.1007/s11172-006-0208-0.
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Khayrullina, V.R., Bögel, H. QSAR of anti-inflammatory drugs. J Cheminform 2 (Suppl 1), P45 (2010). https://doi.org/10.1186/1758-2946-2-S1-P45
- Regression Model
- Structural Feature
- Computer System
- Drug Action
- Computer Analysis