Perspectives in QSAR: computer chemistry and pattern recognition
- PMID: 3199154
- DOI: 10.1007/BF01532089
Perspectives in QSAR: computer chemistry and pattern recognition
Abstract
Computer chemistry allows a detailed description of properties for a wide range of molecular environments. In these respects it offers substantial benefits to the QSAR (Quantitative Structure Activity Relationship) analyst. Problems associated with the resulting wide data matrices are, it is proposed, amenable to solution through multivariate 'pattern recognition' techniques.
Similar articles
-
Computer-aided radiopharmaceutical design.Invest Radiol. 1992 Aug;27(8):653-8. doi: 10.1097/00004424-199208000-00017. Invest Radiol. 1992. PMID: 1428744 Review.
-
QSAR's from similarity matrices. Technique validation and application in the comparison of different similarity evaluation methods.J Med Chem. 1993 Oct 1;36(20):2929-37. doi: 10.1021/jm00072a012. J Med Chem. 1993. PMID: 8411009
-
A QSAR study of anti-inflammatory N-arylanthranilic acids.J Pharm Pharmacol. 1996 Sep;48(9):883-6. doi: 10.1111/j.2042-7158.1996.tb05993.x. J Pharm Pharmacol. 1996. PMID: 8910845
-
High-throughput and in silico techniques in drug metabolism and pharmacokinetics.Curr Opin Drug Discov Devel. 2002 Jan;5(1):33-43. Curr Opin Drug Discov Devel. 2002. PMID: 11865671 Review.
-
Application of the dynamic quantitative structure-activity relationship method for modeling antibacterial activity of quinolone derivatives.Arzneimittelforschung. 1996 Apr;46(4):423-8. Arzneimittelforschung. 1996. PMID: 8740092
Cited by
-
Pattern recognition display methods for the analysis of computed molecular properties.J Comput Aided Mol Des. 1989 Mar;3(1):55-65. doi: 10.1007/BF01590995. J Comput Aided Mol Des. 1989. PMID: 2541226
-
Applications of rule-induction in the derivation of quantitative structure-activity relationships.J Comput Aided Mol Des. 1992 Aug;6(4):349-83. doi: 10.1007/BF00125944. J Comput Aided Mol Des. 1992. PMID: 1403028