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Multivariate structure‐activity relationships between data from a battery of biological tests and an ensemble of structure descriptors: The PLS method

Dunn, W. J., Wold, S., Edlund, U., Hellberg, S., Gasteiger, J.·1984·Quantitative Structure-Activity Relationships

Abstract

Quantitative structure‐activity relationships (QSAR) are discussed for the case when the chemical structure is characterised by a multitude of structure descriptors and the biological activity measured as the values of several tests. The use of the multivariate data analytical method PLS (partial least squares modelling with latent variables) in this type of problems is described. PLS has some advantages before regression methods, notably the ability to handle both multivariate activity and structure descriptor data and the ability to handle more variables (descriptors) than compounds. As an illustration, a battery of five measures of the mutagenicity of seven chlorinated aliphatic hydrocarbons is analysed in relation to eleven structure descriptors.

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Metadata

Authors
Dunn, W. J., Wold, S., Edlund, U., Hellberg, S., & Gasteiger, J.
Venue
Quantitative Structure-Activity Relationships
Publisher
Wiley
Published
1984-01
Volume
3
Issue
4
Pages
131-137
ISSN
  • 0931-8771 (ISSN-L)
  • 1521-3838
OpenAlex
W1973269398
Cited by
245
References
2
FWCI
6.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multivariate structure‐activity relationships between data from a battery of biological tests and an ensemble of structure descriptors: The PLS method. https://app.cochat.ai/papers/10.1002/qsar.19840030402
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Dunn, W. J., Wold, S., Edlund, U., Hellberg, S., & Gasteiger, J. (1984). Multivariate structure‐activity relationships between data from a battery of biological tests and an ensemble of structure descriptors: The PLS method. Quantitative Structure-Activity Relationships. https://doi.org/10.1002/qsar.19840030402

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