SPECTRAL VS. STATISTIC APPROACH OF STRUCTURE–ACTIVITY RELATIONSHIP. APPLICATION ON ECOTOXICITY OF ALIPHATIC AMINES

Author:

PUTZ MIHAI V.1,PUTZ ANA-MARIA12,LAZEA MARIUS1,CHIRIAC ADRIAN1

Affiliation:

1. Laboratory of Computational and Structural Physical Chemistry, Chemistry Department, West University of Timisoara, Pestalozzi Street No. 16, Timisoara, RO-300115, Romania

2. Institute of Chemistry Timisoara of the Romanian Academy, 24 Mihai Viteazul Bld., Timisoara, RO-300223, Romania

Abstract

In the context of quantitative structure–activity relationship (QSAR) studies the traditional statistical indices, i.e. simple correlation factor, standard error of estimates, as well as t-Student and Fisher's tests are challenged against the algebraic spectral description of the multi-linear models. While the new correlation approach is built on the algebraic (Euclidian) norms and on the associate correlation factor, the validation and predictive features are assured throughout so-called "ergodic" least action principle across the investigated models. The reliability of the present proposed spectral respecting statistical QSAR analysis is evaluated on modeling the aliphatic amines' ecotoxicity by means of hydrophobicity, polarizability, and total energy structural parameters resulting in better prediction of molecular hierarchy of observed bioactivity being susceptible to such general behavior.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Physical and Theoretical Chemistry,Computer Science Applications

Reference8 articles.

1. The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses

2. S. D. Nelson, Bioactivation of Foreign Compounds, ed. M. W. Anders (Academic Press, Inc., Orlando, USA, 1985) pp. 349–374.

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