Literature DB >> 845794

Pattern recognition II: Investigation of structure--activity relationships.

G K Menon, A Cammarata.   

Abstract

A simple form of pattern recognition is successfully used to classify a set of structurally diverse therapeutic agents. By using only organic structural information, the major pharmacological classes present were correctly identified and the pharmacologically unrelated compounds were separated out. One technique of factor analysis--principal component analysis--is shown to be readily adaptable in preprocessing the data. Simple graphical representation of the results enables their direct interpretation.

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Year:  1977        PMID: 845794     DOI: 10.1002/jps.2600660303

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

Review 1.  Substructural QSAR approaches and topological pharmacophores.

Authors:  R Franke; S Huebel; W J Streich
Journal:  Environ Health Perspect       Date:  1985-09       Impact factor: 9.031

Review 2.  Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis.

Authors:  Yunyi Wu; Guanyu Wang
Journal:  Int J Mol Sci       Date:  2018-08-10       Impact factor: 5.923

  2 in total

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