Abstract:
:Artificial neural networks (ANN) can be used for the direct QSAR analysis of percent effect biological data, thus avoiding the bias introduced by arbitrarily chosen classes and the loss of information due to prior classification. For two data sets the ANN results are compared with those obtained by adaptive least squares and nonlinear regression analyses. In comparison with the other methods the neural network shows higher predictive power and does not require an explicit equation relating the observed effect to physicochemical descriptors.
journal_name
SAR QSAR Environ Resjournal_title
SAR and QSAR in environmental researchauthors
Wiese M,Schaper KJdoi
10.1080/10629369308028825subject
Has Abstractpub_date
1993-01-01 00:00:00pages
137-52issue
2-3eissn
1062-936Xissn
1029-046Xjournal_volume
1pub_type
杂志文章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
pub_type: 杂志文章
doi:10.1080/1062936X.2010.501816
更新日期:2010-07-01 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
pub_type: 杂志文章,评审
doi:10.1080/1062936X.2012.657236
更新日期:2012-01-01 00:00:00
abstract::Strong sorption of hydrophobic organic contaminants to soot or black carbon (BC) is an important environmental process limiting the bioremediation potential of contaminated soils and sediments. Reliable methods to predict BC sorption coefficients for organic contaminants are therefore required. A computer simulation b...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629360902949336
更新日期:2009-01-01 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
pub_type: 杂志文章
doi:10.1080/1062936X.2011.645872
更新日期:2012-01-01 00:00:00
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...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2013.840678
更新日期:2013-01-01 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
pub_type: 杂志文章
doi:10.1080/10629369508234006
更新日期:1995-09-01 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
更新日期:1999-07-01 00:00:00
abstract::The limited availability and variability of data related to atmospheric degradation reaction is a very relevant issue in studies related to environmental fate and behavior of chemicals. For screening purposes, the experimental data of the oxidation rate constants for the reactions with the radicals OH, NO3 and with oz...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936021000043472
更新日期:2002-12-01 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
pub_type: 杂志文章
doi:10.1080/10629360701843540
更新日期:2008-01-01 00:00:00
abstract::A series of diphenyl ether derivatives were developed and showed promising potency for inhibiting InhA, an essential enoyl acyl carrier protein reductase involved in mycolic acid biosynthesis, leading to the lysis of Mycobacterium tuberculosis. To understand the structural basis of diphenyl ether derivatives for desig...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2014.898690
更新日期:2014-01-01 00:00:00
abstract::Quantitative structure-activity relationship (QSAR) studies were conducted on an in-house database of cytochrome P450 enzyme 1A2 inhibitors using the comparative molecular field analysis (CoMFA), comparative molecular similarity analysis (CoMSIA) and hologram QSAR (HQSAR) approaches. The database consisted of 36 activ...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2011.623320
更新日期:2011-10-01 00:00:00
abstract::Combining our previous QSAR work with recent high-level quantum mechanical calculations, a plausible mechanism for the mutagenic activity of halogenated furanones (so called MX compounds) in Salmonella typhimurium TA100 tester strain is proposed. The mechanism involves one-electron reduction as a key step and it seems...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629369708039134
更新日期:1997-01-01 00:00:00
abstract::The development of more efficient, ethical, and effective means of assessing the effects of chemicals on human health and the environment was a lifetime goal of Gilman Veith. His work has provided the foundation for the use of chemical structure for informing toxicological assessment by regulatory agencies the world o...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2014.907203
更新日期:2014-01-01 00:00:00
abstract::Juvenile hormone esterase (JHE) plays a key role in the development and metamorphosis of holometabolous insects. Its inhibitors could possibly be targeted for insect control. Conversely, JHE may also be involved in endocrine disruption by xenobiotics, resulting in detrimental effects in beneficial insects. There is th...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2014.919959
更新日期:2014-01-01 00:00:00
abstract::Genome based technologies such as sequencing and gene expression profiling using microarrays are creating massive amounts of data. Results from these studies have provided unique insights into targets, biochemical pathways, and biological systems affected by drug or xenobiotic chemical treatments. Moreover, these geno...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章,评审
doi:10.1080/10659360600562053
更新日期:2006-02-01 00:00:00
abstract::Traditional knowledge guides the use of plants for restricted therapeutic indications, but their pharmacological actions may be found beyond their ethnic therapeutic indications employing emerging computational tools. In this context, the present study was envisaged to explore the novel pharmacological effect of Achyr...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2017.1408683
更新日期:2018-01-01 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
pub_type: 杂志文章
doi:10.1080/10629360412331297498
更新日期:2004-10-01 00:00:00
abstract::Topological structure methods are used to model fish toxicity against three classes of organic chemicals. The models were obtained independent of 3D structure information. Further, no mechanism of partitioning was assumed, thus avoiding the problems associated with selection of partitioning system for computation of l...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936031000073144
更新日期:2003-04-01 00:00:00
abstract::Three modelling systems (MultiCase®, LeadScope® and MDL® QSAR) were used for construction of androgenic receptor antagonist models. There were 923-942 chemicals in the training sets. The models were cross-validated (leave-groups-out) with concordances of 77-81%, specificity of 78-91% and sensitivity of 51-76%. The spe...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2010.528981
更新日期:2011-03-01 00:00:00
abstract::Neurotoxicities of a series of solvents in rats and mice have been modeled by means of the TOPS-MODE approach. Two quantitative structure-toxicity relationship (QSTR) models were obtained explaining more than 80% of the variance in the experimental values of neurotoxicity of 45 solvents. Only one compound was detected...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629360108035384
更新日期:2001-01-01 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
pub_type: 杂志文章
doi:10.1080/10629360108035368
更新日期:2001-01-01 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
pub_type: 杂志文章
doi:10.1080/1062936X.2015.1018939
更新日期:2015-01-01 00:00:00
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 natu...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2010.528959
更新日期:2010-10-01 00:00:00
abstract::Drug repurposing provides a non-laborious and less expensive way for finding new human medicines. Computational assessment of bioactivity profiles shed light on the hidden pharmacological potential of the launched drugs. Currently, several freely available computational tools are available via the Internet, which pred...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2017.1399448
更新日期:2017-10-01 00:00:00
abstract::The Index of Ideality of Correlation (IIC) is a new criterion of the predictive potential for quantitative structure-property/activity relationships. The value of the IIC is a mathematical function sensitive to the value of the correlation coefficient and dispersion (expressed via mean absolute error). The IIC has bee...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/1062936X.2019.1615547
更新日期:2019-06-01 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
pub_type: 杂志文章
doi:10.1080/1062936X.2011.569943
更新日期:2011-06-01 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
pub_type: 杂志文章
doi:10.1080/1062936X.2016.1273971
更新日期:2017-01-01 00:00:00
abstract::The aryl hydrocarbon receptor is a ligand-activated transcription factor responsive to both natural and synthetic environmental compounds, with the most potent agonist being 2,3,7,8-tetrachlotrodibenzo-p-dioxin. The aim of this work was to develop a categorical COmmon REactivity PAttern (COREPA)-based structure-activi...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629360903570933
更新日期:2010-01-01 00:00:00
abstract::This article represents a minireview of work published so far in the 21st century in the in silico ADMET field of research related to investigations in the areas of solubility, hERG and cytochrome P450 3A4. Various approaches including 2D- and 3D-QSARs and pharmacophore modelling are discussed. The pros and cons of th...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章,评审
doi:10.1080/10629360412331319835
更新日期:2005-02-01 00:00:00
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...
journal_title:SAR and QSAR in environmental research
pub_type: 杂志文章
doi:10.1080/10629369408028840
更新日期:1994-01-01 00:00:00