Protein Engineering, Vol. 15, No. 4, 305-311,
April 2002
© 2002 Oxford University Press
Proteo-chemometrics analysis of MSH peptide binding to melanocortin receptors
1 Department of Pharmaceutical Biosciences, Pharmacology, Uppsala University, Box 591, SE751 24 Uppsala and 2 Melacure Therapeutics AB and Pharmaceutical Chemistry, Uppsala University, Uppsala, Sweden
The published data for six melanocortin peptides binding to wild-type and chimeric melanocortin MC1/MC3 receptors were analysed using the novel proteo-chemometrics modelling approach. The chimeric receptors and the peptides were coded using binary descriptors and used to correlate with the experimental data for affinity or selectivity for peptides binding to receptors. Correlations were achieved using partial least squares projection to latent structures (PLS) and statistically valid models were obtained. The models were further improved by adding cross-terms and applying orthogonal signal correction. The models were validated using external prediction, with half of the data being excluded from the modelling. Interpretation of the results using PLS coefficient plots revealed that the binding pocket for the melanocortins is located between the first, second, third, sixth and seventh transmembrane regions of the melanocortin receptors, in good agreement with previous three-dimensional models for the interactions of melanocortins with melanocortin receptors. Further, analysis of cross-terms between peptide descriptors indicated that the proteo-chemometrics modelling is able to distinguish between differences in the conformational space of the peptides that affect binding affinity and selectivity.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
I. Mandrika, P. Prusis, S. Yahorava, M. Shikhagaie, and J. E.S. Wikberg Proteochemometric modelling of antibody-antigen interactions using SPOT synthesised peptide arrays Protein Eng. Des. Sel., June 22, 2007; (2007) gzm022v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Lapinsh, P. Prusis, S. Uhlen, and J. E. S. Wikberg Improved approach for proteochemometrics modeling: application to organic compound--amine G protein-coupled receptor interactions Bioinformatics, December 1, 2005; 21(23): 4289 - 4296. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Lapinsh, S. Veiksina, S. Uhlen, R. Petrovska, I. Mutule, F. Mutulis, S. Yahorava, P. Prusis, and J. E. S. Wikberg Proteochemometric Mapping of the Interaction of Organic Compounds with Melanocortin Receptor Subtypes Mol. Pharmacol., January 1, 2005; 67(1): 50 - 59. [Abstract] [Full Text] [PDF] |
||||


