Abstract
The interaction of 20 nonsteroidal anti-inflammatory drugs with a model protein was studied by reversed-phase high-performance liquid chromatography and the relationship between the strength of interaction and the physicochemical parameters of drugs was elucidated by principal component analysis followed by modified nonlinear mapping and cluster analysis. It was established that the polarity and and sterical parameters of drugs exert the highest influence on the interaction. Cluster analysis and nonlinear mapping using the absolute values of principal component loadings explain more precisely the interaction than the traditional nonlinear mapping and cluster analysis do.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Liquid Chromatography & Related Technologies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
