Abstract:
:The Ames Salmonella typhimurium mutagenicity assay is a short-term bacterial reverse mutation test that was designed to detect mutagens. For several decades, it has been used in research laboratories and by regulatory agencies throughout the world for the detection and characterization of potential mutagens among natural products and man-made chemicals. Faced with the ever-growing number of chemicals available on the market, congeneric and non-congeneric (Q)SAR models have been designed from Ames test results obtained on specific S. typhimurium strains such as TA 100 or TA 98. Such models have great potential for a quick and cheap identification and classification of large numbers of potential chemical mutagens. The OECD QSAR Application Toolbox and Toxtree, which were developed for facilitating the practical use of (Q)SAR approaches in regulatory contexts, include two mechanistic SAR models for predicting the mutagenicity of aromatic amines and α-β unsaturated aliphatic aldehydes. The aim of this study was to estimate the interest and limitations of the former model. The model was first re-computed to check its transparency and to verify its statistical validity. Then, it was tested on about 150 chemicals not previously used for the design of the model but belonging to its domain of application. A critical analysis of the results was performed and proposals were made for increasing the model performances.
journal_name
SAR QSAR Environ Resjournal_title
SAR and QSAR in environmental researchauthors
Devillers J,Mombelli Edoi
10.1080/1062936X.2010.528959subject
Has Abstractpub_date
2010-10-01 00:00:00pages
753-69issue
7-8eissn
1062-936Xissn
1029-046Xpii
930319458journal_volume
21pub_type
杂志文章abstract::The Quantitative Ion Character-Activity Relationship (QICAR) method was used for correlating metal ionic characteristics with the maximum adsorption capacity (qmax) of multi-walled carbon for heavy metals. The experimental values of qmax for 25 heavy metal ions, estimated by the Langmuir isotherm model, were used to c...
journal_title:SAR and QSAR in environmental research
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doi:10.1080/1062936X.2018.1538059
更新日期:2018-12-01 00:00:00
abstract::Biofouling in the marine environment is a major problem. In this study, three marine organisms, namely Bacillus flexus (LD1), Pseudomonas fluorescens (MD3) and Vibrio natriegens (MD6), were isolated from biofilms formed on polymer and metal surfaces immersed in ocean water. Phylogenetic analysis of these three organis...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629361003771009
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abstract::Over half of known industrial pollutants have minimal toxic effect, in line with the concept of "baseline toxicity"; such toxicity usually correlates well with lipophilicity. The remainder require additional descriptors in order to model their toxicity by the QSAR approach. Hence, it has not been possible, to date, to...
journal_title:SAR and QSAR in environmental research
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doi:10.1080/10629360412331297498
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abstract::For the first time, a set of 56 compounds representing structural derivatives of naturally occurring alpha-asarone as an antifeedants against stored product pests Sitophilus granarius L., Trogoderma granarium Ev., and Tribolium confusum Duv., were subjected to the 3D QSAR studies. Three-dimensional quantitative struct...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2013.875061
更新日期:2014-01-01 00:00:00
abstract::In this work, the EC-GA method, a hybrid 4D-QSAR approach that combines the electron conformational (EC) and genetic algorithm optimization (GA) methods, was applied in order to explain pharmacophore (Pha) and predict anti-HIV-1 activity by studying 115 compounds in the class of 1-[(2-hydroxyethoxy)-methyl]-6-(phenylt...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2012.665082
更新日期:2012-07-01 00:00:00
abstract::Abstract On the basis of a set of 593 experimental octanol/water partition coefficients (log P) for pesticides, the simulation performances of two models using computable descriptors are compared. The back propagation neural network model designed from autocorrelation descriptors (SAR QSAR Environ. Res. (1997), 7, 1...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629369908039179
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abstract::Retrometabolic drug design approaches incorporate metabolic and toxicological considerations into the drug design process and represent a novel, systematic methodology for the design of safe compounds. Two major design concepts aimed to increase the therapeutic index (the activity/toxicity ratio) of drugs were develop...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章,评审
doi:10.1080/10629369808033261
更新日期:1998-01-01 00:00:00
abstract::Genotoxicity is a key toxicity endpoint for current regulatory requirements regarding new and existing chemicals. However, genotoxicity testing is time-consuming and costly, and involves the use of laboratory animals. This has motivated the development of computational approaches, designed to predict genotoxicity with...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2013.820791
更新日期:2014-01-01 00:00:00
abstract::The aim of this study was to evaluate a multivariate statistical model, utilising Partial Least Squares (PLS) analysis, for the prediction of the acute toxicity of aliphatic chemicals to the ciliate Tetrahymena pyriformis. A model was developed that was capable of making a prediction regardless the mechanism of toxic ...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936032000101501
更新日期:2003-08-01 00:00:00
abstract::Quantitative structure-activity relationship (QSAR) studies are useful computational tools often used in drug discovery research and in many scientific disciplines. In this study, a robust fragment-similarity-based QSAR (FS-QSAR) algorithm was developed to correlate structures with biological activities by integrating...
journal_title:SAR and QSAR in environmental research
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doi:10.1080/1062936X.2011.569943
更新日期:2011-06-01 00:00:00
abstract::The current study deals with chemometric modelling strategies (Naïve Bayes classification, hologram-based quantitative structure-activity relationship (HQSAR), comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA)) to explore the important features of hydroxylamine d...
journal_title:SAR and QSAR in environmental research
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doi:10.1080/1062936X.2018.1447511
更新日期:2018-05-01 00:00:00
abstract::A series of our SAR and QSAR studies of synthetic moulting hormone agonists, dibenzoylhydrazines (DBH), exhibiting insecticidal/larvicidal activity are reviewed in this article. We prepared a number of analogues where various substituents are introduced into the two benzene rings of DBH and measured their biological a...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章,评审
doi:10.1080/10629360601053943
更新日期:2007-01-01 00:00:00
abstract::Existing models for the reductive dehalogenation reaction under environmentally relevant conditions use Hammett and Taft coefficients as descriptors. Drawbacks of these descriptors are the limited possibilities for interpretation in terms of reaction mechanisms, and the limited availability of these descriptors for mo...
journal_title:SAR and QSAR in environmental research
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doi:10.1080/10629369508032983
更新日期:1995-01-01 00:00:00
abstract::Traditionally, QSAR and QSPR models have been fitted by splitting the available compounds into separate learning and validation sets. The model is then fitted to the learning set and assessed using the validation set. Cross-validation (CV) uses all available compounds for both purposes, so that the full body of availa...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629360802349058
更新日期:2008-01-01 00:00:00
abstract::The evaluation of persistency of chemicals in environmental media (water, soil, sediment) is included in European Regulations, in the context of the Persistence, Bioaccumulation and Toxicity (PBT) assessment. In silico predictions are valuable alternatives for compounds screening and prioritization. However, already e...
journal_title:SAR and QSAR in environmental research
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更新日期:2020-07-01 00:00:00
abstract::The charged partial surface area, or CPSA descriptors were originally designed for use in structure-physical relationship studies to capture information about the features of molecules responsible for polar intermolecular interactions. Since their development, they have found applications in a broad variety of both st...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629360290002811
更新日期:2002-03-01 00:00:00
abstract::As often noted by Dr. Gilman Veith, a major barrier to advancing any model is defining its applicability domain. Sulfur-containing industrial organic chemicals can be grouped into several chemical classes including mercaptans (RSH), sulfides (RSR'), disulfides (RSSR'), sulfoxides (RS(=O)R'), sulfones (RS(=O)(=O)R'), s...
journal_title:SAR and QSAR in environmental research
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更新日期:2014-01-01 00:00:00
abstract::Existing toxicological data may be used for a variety of purposes such as hazard and risk assessment or toxicity prediction. The potential use of such data is, in part, dependent upon their quality. Consideration of data quality is of key importance with respect to the application of chemicals legislation such as REAC...
journal_title:SAR and QSAR in environmental research
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abstract::QSAR models have been under development for decades but acceptance and utilization of model results have been slow, in part, because there is no widely accepted metric for assessing their reliability. We reapply a method commonly used in quantitative epidemiology and medical decision-making for evaluating the results ...
journal_title:SAR and QSAR in environmental research
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abstract::The objective of this article is to outline both graph-theoretically based and quantum chemically based structural indices of potential use in quantitative structure activity correlations. We consider graph-theoretical indices such as the connectivity index, topological index, Wiener index and molecular ID indices. Se...
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journal_title:SAR and QSAR in environmental research
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journal_title:SAR and QSAR in environmental research
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abstract::A special challenge in the new European Union chemicals legislation, Registration, Evaluation and Authorisation of Chemicals, will be the toxicological evaluation of chemicals for reproductive toxicity. Use of valid quantitative structure-activity relationships (QSARs) is a possibility under the new legislation. This ...
journal_title:SAR and QSAR in environmental research
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abstract::Peroxysome proliferator-activated receptors (PPARs) have grown greatly in importance due to their role in the metabolic profile. Among three subtypes (α, γ and δ), we here consider the least investigated δ subtype to explore the molecular fingerprints of selective PPARδ agonists. Validated QSAR models (regression base...
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abstract::The human breast cancer resistance protein (BCRP), one of the members of the large ATP binding cassette (ABC) transporter superfamily, is crucial for resistance against chemotherapeutic agents. Currently, it has been emerged as one of the best biological targets for the designing of small molecule drugs capable of eli...
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abstract::Aldehydes are toxic environmental contaminants which cause severe health hazards. There is a growing need by industries and regulatory agencies for the development of tools able to assess the potential hazardous effects of chemicals on living organisms. In this background, multivariate image analysis combined with qua...
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abstract::The hydrogen bonding interaction between pyridine bases and water was theoretically studied by applying density functional theory computations at the B3LYP/631G(d,p) level. The theoretically determined binding energies for the complexation process correlate well with the experimental solvatochromic parameters beta for...
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abstract::Molecular modelling studies were performed to identify the essential structural requirements of quinoline-based derivatives for improving their antimalarial activity. The developed CoMFA, CoMSIA and HQSAR models for a training set comprising 37 derivatives showed good statistical significance in terms of internal cros...
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abstract::Molecular property diagnostic suite (MPDS) is a Galaxy-based open source drug discovery and development platform. MPDS web portals are designed for several diseases, such as tuberculosis, diabetes mellitus, and other metabolic disorders, specifically aimed to evaluate and estimate the drug-likeness of a given molecule...
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