Modeling and prediction by using WHIM descriptors in QSAR studies: submitochondrial particles (SMP) as toxicity blosensors of chlorophenols

Abstract New 3-dimensional molecular indices (WHIM descriptors) contain information about the whole molecular structure in terms of size, shape, symmetry and atom distribution. These indices are calculated from (x,y,z)-coordinates of a molecule within different weighting schemes in a straightforward manner and represent a very general approach to describe molecules in a unitary conceptual framework. The obtained models confirm the high modeling power of the WHIM descriptors. In this work WHIM descriptors are used for modeling chlorophenols toxicity measured by other not previously considered biosensors. In particular, the attention is stressed on submitochondral particles (SMP) as toxicity biosensors recently proposed and their relationships with other biosensors are further investigated.

[1]  Kikuo Yoshida,et al.  Acute toxicity of chlorophenols to green algae, Selenastrum capricornutum and Chlorella vulgaris, and quantitative structure-activity relationships , 1988 .

[2]  J Saarikoski,et al.  Relation between physicochemical properties of phenols and their toxicity and accumulation in fish. , 1982, Ecotoxicology and environmental safety.

[3]  M. Selwyn,et al.  Effects of ring substituents on the activity of phenols as inhibitors and uncouplers of mitochondrial respiration. , 1971, European journal of biochemistry.

[4]  J. Harkin,et al.  Mammalian mitochondria asin vitro monitors of water quality , 1987, Bulletin of environmental contamination and toxicology.

[5]  P. Carniti,et al.  Inhibiting action of chloro- and nitro-phenols on biodegradation of phenol: A structure-toxicity relationship , 1984 .

[6]  Marina Lasagni,et al.  New molecular descriptors for 2D and 3D structures. Theory , 1994 .

[7]  Paola Gramatica,et al.  Weighted holistic invariant molecular descriptors. Part 2. Theory development and applications on modeling physicochemical properties of polyaromatic hydrocarbons , 1995 .

[8]  D. Bevan,et al.  Mitochondrial response to chlorophenols as a short‐term toxicity assay , 1991 .

[9]  S. Unger Molecular Connectivity in Structure–activity Analysis , 1987 .

[10]  S. Safe,et al.  Effects of chlorinated phenols on rat embryonic and hepatic mitochondrial oxidative phosphorylation , 1992 .

[11]  Roberto Todeschini,et al.  Submitochondrial particles as toxicity biosensors of chlorophenols , 1995 .

[12]  A. Marcomini,et al.  Submitochondrial particle response to linear alkylbenzene sulfonates, nonylphenol polyethoxylates and their biodegradation derivatives , 1994 .

[13]  U. Ahlborg,et al.  Chlorinated phenols: occurrence, toxicity, metabolism, and environmental impact. , 1980, Critical reviews in toxicology.

[14]  R. Boggia,et al.  Genetic algorithms as a strategy for feature selection , 1992 .

[15]  A. Musch,et al.  Quantitative structure-activity relationships in fish toxicity studies. Part 2: the influence of pH on the QSAR of chlorophenols. , 1981, Toxicology.

[16]  Paola Gramatica,et al.  Modeling and prediction by using WHIM descriptors in QSAR studies: Toxicity of heterogeneous chemicals on Daphnia magna , 1996 .

[17]  K. Kaiser,et al.  Quantitative structure-toxicity relationship of halogenated phenols on bacteria , 1982, Bulletin of environmental contamination and toxicology.

[18]  K. Kaiser,et al.  Effects of selected chemicals to photoluminescent bacteria and their correlations with acute and sublethal effects on other organisms , 1983 .

[19]  S. Smith,et al.  Evaluation of the toxicity and quantitative structure - activity Relationships (QSAR) of chlorophenols to the copepodid stage of a marine copepod (Tisbe battagliai) and two species of benthic flatfish, the flounder (Platichthys flesus) and sole (Solea solea) , 1994 .