Change search
ReferencesLink to record
Permanent link

Direct link
Time-resolved QSAR: an approach to PLS modelling of three-way biological data
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Science and Technology, Department of Chemistry. (Research Group for Chemometrics)
2004 (English)In: Chemometrics and Intelligent Laboratory Systems, Vol. 73, no 1, 73-84 p.Article in journal (Refereed) Published
Abstract [en]

This paper outlines a novel approach to the analysis of three-way Y-data in quantitative structure–activity relationship (QSAR) modelling. The new method represents a modification of an existing approach for multivariate modelling of batch process data. It is based on unfolding the three-way Y-matrix into a two-way matrix according to a sequential order of an external variable. In QSAR, time, pH, or temperature at which the biological data were gathered, are conceivably such external variables. Thus, unfolding can be done differently depending on the objective of the investigation, thereby shifting the focus of the QSAR analysis. The ensuing multivariate data analysis uses two levels of modelling. (1) On the lower (observation) level a projections to latent structures (PLS) model is developed between the unfolded biological data and the external variable. This model will identify compounds with biological data being sensitive to changes in the external variable (like time, pH, or temperature). (2) The scores of the lower level model are then re-arranged to enable the upper (QSAR) level model. In this model, a battery of structure descriptors (X) is related to the Y-matrix of scores of the lower level model. As an example, a series of 35 compounds and their anti-microbial activity towards the bacterial strain Escherichia coli CCM2260 is used. This biological activity has been determined at different times (2 to 10 h) and pH-values (pH 5.6 to 8.0).

Place, publisher, year, edition, pages
2004. Vol. 73, no 1, 73-84 p.
Keyword [en]
QSAR, Time-resolved QSAR, Three-way Y-data, PCA, PLS
URN: urn:nbn:se:umu:diva-14847DOI: 10.1016/j.chemolab.2004.04.004OAI: diva2:154519

8th Scandinavian Symposium on Chemometrics (SSC8), Mariehamn, Aland, Finland 14-18 June 2003

Available from: 2008-04-17 Created: 2008-04-17 Last updated: 2013-02-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Wold, Svante
By organisation
Department of Chemistry

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 16 hits
ReferencesLink to record
Permanent link

Direct link