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H. Kubinyi, “Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution,” Quantitative Structure Activity Relationships, Vol. 13, 1994, pp. 393-401.

has been cited by the following article:

• TITLE: Modeling of the Interaction of Flavanoids with GABA (A) Receptor Using PRECLAV (Property-Evaluation by Class Variables)

  AUTHORS: Vijay K. Agrawal, Basheerulla Shaik, Padmakar V. Khadikar, Shalini Singh

  KEYWORDS: PRECLAV, NCSS, Regression Analysis, Cross-Validation, GABA, Flavanoids

  JOURNAL NAME: Pharmacology & Pharmacy, Vol.2 No.4, October 18, 2011

  ABSTRACT: Quantitative Structure-Activity Relationship (2D-QSAR) models for binding affinity constants (log Ki) of 78 flavanoid ligands towards the benzodiazepine site of GABA (A) receptor complex were estimated using the PRECLAV (Property-Evaluation by Class Variables) program. The best MLR equation with nine PRECLAV descriptors has R2 = 0.843 and R2C = 0.782. Attempt is also made for obtaining 2D-QSAR model using NCSS software. The comparison of the results indicated that the PRECLAV method is very efficient in detecting structure-activity correlation with good predictive power.