Literature DB >> 31486

Structure-activity study of beta-adrenergic agents using the SIMCA method of pattern recognition.

W J Dunn, S Wold.   

Abstract

The SIMCA method of pattern recognition (PaRC) was used to analyze structure-activity data for a series of phenethylamine agonists and antagonists of the beta-adrenergic receptor. On the basis of physicochemical substituent parameters the SIMCA method classified correctly 100% of the agonists and 88% of the antagonists. In addition, parameters derived from the class models were correlated with the biological activities of the agonists and antagonists, respectively. Test compounds not included in the initial data analysis were classified and their activities estimated. The applicability of pattern recognition in structure-activity studies in general is discussed.

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Year:  1978        PMID: 31486     DOI: 10.1021/jm00207a015

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  4 in total

1.  QSAR using 2D descriptors and TRIPOS' SIMCA.

Authors:  P A Hunt
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

2.  Pattern recognition study of QSAR substituent descriptors.

Authors:  H van de Waterbeemd; N el Tayar; P A Carrupt; B Testa
Journal:  J Comput Aided Mol Des       Date:  1989-06       Impact factor: 3.686

3.  Perspectives in QSAR: computer chemistry and pattern recognition.

Authors:  R M Hyde; D J Livingstone
Journal:  J Comput Aided Mol Des       Date:  1988-07       Impact factor: 3.686

Review 4.  Computer-assisted studies of molecular structure and genotoxic activity by pattern recognition techniques.

Authors:  T R Stouch; P C Jurs
Journal:  Environ Health Perspect       Date:  1985-09       Impact factor: 9.031

  4 in total

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