QSAR/QSPR models based on quantum chemistry for risk assessment of pesticides according to current European legislation.

abstract：:Knowledge of the interpolative region or applicability domain (AD) of structure-activity relationships is believed to improve predictive accuracy. The present work was undertaken to characterize the AD of EPI Suite biotransformation models and evaluate the performance of selected AD assessment methods. AD methods were...

journal_title：SAR and QSAR in environmental research

authors： Boethling RS,Costanza J

更新日期：2010-07-01 00:00:00

abstract：:Quantitative structure-property relationship modelling can be a valuable alternative method to replace or reduce experimental testing. In particular, some endpoints such as octanol-water (KOW) and organic carbon-water (KOC) partition coefficients of polychlorinated biphenyls (PCBs) are easier to predict and various mo...

journal_title：SAR and QSAR in environmental research

authors： Yu S,Gao S,Gan Y,Zhang Y,Ruan X,Wang Y,Yang L,Shi J

更新日期：2016-04-01 00:00:00

abstract：:Chemical structures of organic compounds are characterized numerically by a variety of structural descriptors, one of the earliest and most widely used being the Wiener index W, derived from the interatomic distances in a molecular graph. Extensive use of distance-based structural descriptors or topological indices ha...

journal_title：SAR and QSAR in environmental research

authors： Ivanciuc O,Ivanciuc T,Klein DJ

更新日期：2001-01-01 00:00:00

abstract：:The relative toxicity (log IGC-1(50)) of 54 selected alkanones, both aliphatic and aromatic, as well as, alkenones and alkynones was evaluated in the static Tetrahymena pyriformis population growth assay. Excess toxicity, an indicator of bioreactivity, was associated only with the alpha-beta unsaturated alkenones and ...

journal_title：SAR and QSAR in environmental research

authors： Schultz TW,Sinks GD,Hunter RS

更新日期：1995-01-01 00:00:00

abstract：:On the basis of computer prediction of biological activity by PASS and toxicity by DEREK, the most prospective 18 alkylaminoacyl derivatives of 3-amino-benzo-[d]-isothiazole were selected. Their local anesthetic action was assessed using an in vitro preparation of the isolated peroneal nerve of the frog. The local ane...

journal_title：SAR and QSAR in environmental research

authors： Geronikaki A,Vicini P,Theophilidis G,Lagunin A,Poroikov V,Dearden JC

更新日期：2003-10-01 00:00:00

abstract：:Density functional theory (DFT) at B3LYP/6-311G** level was employed to optimise the dioxin compounds, i.e., 25 polychlorinated or brominated dibenzo-p-dioxins (PCDDs or PBDDs) and 34 polychlorinated dibenzofurans (PCDFs) involved in this investigation. Three groups of descriptors mainly related to chemical reactivity...

journal_title：SAR and QSAR in environmental research

authors： Gu CG,Jiang X,Ju XH,Yang XL,Yu GF

更新日期：2007-07-01 00:00:00

abstract：:The ability to estimate aquatic toxicity is a critical need for ecological risk assessment and chemical regulation. The consensus in the literature is that mode of action (MOA) based toxicity models yield the most toxicologically meaningful and, theoretically, the most accurate results. In this study, a two-step predi...

journal_title：SAR and QSAR in environmental research

authors： Martin TM,Young DM,Lilavois CR,Barron MG

更新日期：2015-01-01 00:00:00

abstract：:A number of structure-odor relationships concerning odor intensity and odor quality are presented. The sets which were used, the statistical methods which were employed and the principal results of the studies are analyzed and discussed. An attempt was made to recognize principal trends in the field of structure-odor ...

journal_title：SAR and QSAR in environmental research

authors： Chastrette M

更新日期：1997-01-01 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

authors： Hawkins DM,Kraker JJ,Basak SC,Mills D

更新日期：2008-01-01 00:00:00

abstract：:With the current concern of limiting experimental assays, increased interest now focuses on in silico models able to predict toxicity of chemicals. Endocrine disruptors cover a large number of environmental and industrial chemicals which may affect the functions of natural hormones in humans and wildlife. Structure-ac...

journal_title：SAR and QSAR in environmental research

authors： Panaye A,Doucet JP,Devillers J,Marchand-Geneste N,Porcher JM

更新日期：2008-01-01 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

authors： Sivakumar PM,Prabhawathi V,Doble M

更新日期：2010-04-01 00:00:00

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

authors： Łozowicka B,Kaczyński P,Magdziarz T,Dubis AT

更新日期：2014-01-01 00:00:00

abstract：:Modern industrialisation has led to the production of millions of toxic chemicals having hazardous effects on the ecosystem. It is impracticable to determine the toxic potential of a large number of chemicals in animal models, making the use of quantitative structure-toxicity relationship (QSTR) models an alternative ...

journal_title：SAR and QSAR in environmental research

authors： Roy K,Das RN

更新日期：2012-01-01 00:00:00

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

authors： McDowell RM,Jaworska JS

更新日期：2002-03-01 00:00:00

abstract：:The toxicological assessment of genotoxic impurities is important in the regulatory framework for pharmaceuticals. In this context, the application of promising computational methods (e.g. Quantitative Structure-Activity Relationships (QSARs), Structure-Activity Relationships (SARs) and/or expert systems) for the eval...

journal_title：SAR and QSAR in environmental research

authors： Fioravanzo E,Bassan A,Pavan M,Mostrag-Szlichtyng A,Worth AP

更新日期：2012-01-01 00:00:00

abstract：:γ-tubulin plays crucial role in the nucleation and organization of microtubules during cell division. Recent studies have also indicated its role in the regulation of microtubule dynamics at the plus end of the microtubules. Moreover, γ-tubulin has been found to be over-expressed in many cancer types, such as carcinom...

journal_title：SAR and QSAR in environmental research

authors： Suri C,Naik PK

更新日期：2015-06-01 00:00:00

abstract：:Abstract In 1993, an international project on QSAR has been started with funding from the Commission of the European Union. The first part of the project is focused on preparing an overview of existing models for the prediction of environmental parameters such as bioconcentration, sorption, degradation and ecotoxici...

journal_title：SAR and QSAR in environmental research

authors： Hermens J,Balaz S,Damborsky J,Karcher W,Müller M,Peijnenburg W,Sabljic A,Sjöström M

更新日期：1995-09-01 00:00:00

abstract：:Molecular similarity methods have emerged as powerful tools in analog selection, chemical classification based on toxic modes of action, and property estimation. The basic assumption of structure-activity relationships (SAR) is that similar structures usually have similar properties. Therefore, similarity methods can ...

journal_title：SAR and QSAR in environmental research

authors： Gute BD,Grunwald GD,Mills D,Basak SC

更新日期：2001-02-01 00:00:00

abstract：:Aedes aegypti is the primary vector of several infectious viruses that cause yellow, dengue, chikungunya, and Zika fevers. Recently, plant-derived products have been tested as safe and eco-friendly larvicides against Ae. aegypti. The present study aimed to improve QSAR models for 62 larvicidal phytocompounds against A...

journal_title：SAR and QSAR in environmental research

authors： Javidfar M,Ahmadi S

更新日期：2020-10-01 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

authors： Przybylak KR,Madden JC,Cronin MT,Hewitt M

更新日期：2012-07-01 00:00:00

abstract：:A partial distance-weighted variable anti-connectivity topological index was introduced for modelling pK(a) values of 31 aliphatic carboxylic acids and haloalkyl-carboxylic acids. The partial distance-weighted variable anti-connectivity index showed superior modelling capabilities compared with the index calculated fr...

journal_title：SAR and QSAR in environmental research

authors： Sčavničar A,Balaban AT,Pompe M

更新日期：2013-01-01 00:00:00

abstract：:Calculated energies of lowest unoccupied molecular orbitals (LUMOs) are frequently employed as descriptors in studies of quantitative structure-activity relationships and linear free energy relationships involving electron transfer. However, the quantum chemical programs with which these are carried out, whether Hartr...

journal_title：SAR and QSAR in environmental research

authors： Burrow PD,Modelli A

更新日期：2013-08-01 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

authors： Myint KZ,Ma C,Wang L,Xie XQ

更新日期：2011-06-01 00:00:00

abstract：:()New data, tools and services recently made available on the web server (http://cactus.nci.nih.gov) of the Computer-Aided Drug Design (CADD) Group, NCI, NIH, developed in the context of chemoinformatics and drug development work, are presented. These tools are designed for searching for structures in very large datab...

journal_title：SAR and QSAR in environmental research

authors： Sitzmann M,Filippov IV,Nicklaus MC

更新日期：2008-01-01 00:00:00

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

authors： Raevsky OA,Dearden JC

更新日期：2004-10-01 00:00:00

abstract：:COX-2 inhibitors exhibit anticancer effects in various cancer models but due to the adverse side effects associated with these inhibitors, targeting molecules downstream of COX-2 (such as mPGES-1) has been suggested. Even after calls for mPGES-1 inhibitor design, to date there are only a few published inhibitors targe...

journal_title：SAR and QSAR in environmental research

authors： Misra S,Saini M,Ojha H,Sharma D,Sharma K

更新日期：2017-01-01 00:00:00

abstract：:In this work, a descriptor, SVRG (principal component scores vector of radial distribution function descriptors and geometrical descriptors), was derived from principal component analysis (PCA) of a matrix of two structural variables of coded amino acids, including radial distribution function index (RDF) and geometri...

journal_title：SAR and QSAR in environmental research

authors： Tong J,Che T,Li Y,Wang P,Xu X,Chen Y

更新日期：2011-07-01 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

authors： Akyüz L,Sarıpınar E,Kaya E,Yanmaz E

更新日期：2012-07-01 00:00:00

abstract：:Thiobenzanilides are found to show strong biological activity as antimicrobial, antimycotic, and tuberculostatic agents. In addition, they are relatively weakly toxic to higher organisms. A large set of new (N-phenyl-)-2,4-dihydroxybenzenecarbothioamide derivatives was obtained. Preliminary studies showed high microbi...

journal_title：SAR and QSAR in environmental research

authors： Jóźwiak K,Szumiło H,Senczyna B,Niewiadomy A

更新日期：1999-12-01 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

authors： Richarz AN,Schultz TW,Cronin MT,Enoch SJ

更新日期：2014-01-01 00:00:00