Quantitative structure-toxicity relationships for chlorophenols to bioluminescent lux-marked bacteria using atom-based semi-empirical molecular-orbital descriptors.

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

authors： Toropov AA,Toropova AP,Selvestrel G,Benfenati E

更新日期：2019-06-01 00:00:00

abstract：:The aim of this study was to determine the degradability of 26 Alkylphenols (APs) by Chemical Oxygen Demand (COD) and/or 5-day Biochemical Oxygen Demand (BOD(5)), and to describe these data from Quantitative Structure-activity Relationships (QSARs). Statistical analysis techniques, such as Multiple Linear Regression (...

journal_title：SAR and QSAR in environmental research

authors： Kim JH,Gramatica P,Kim MG,Kim D,Tratnyek PG

更新日期：2007-10-01 00:00:00

abstract：:CORAL software has been used to build quantitative structure-activity relationships (QSARs) for the prediction of binding affinities (pEC50, i.e., minus decimal logarithm of the 50% effective concentration) of 35 potent inhibitors towards the voltage-gated potassium channel subunit Kv7.2. The pEC50 has been modelled u...

journal_title：SAR and QSAR in environmental research

authors： Achary PG

更新日期：2014-01-01 00:00:00

abstract：:Matrix metalloproteinase-2 (MMP-2) is a potential target in anticancer drug discovery due to its association with angiogenesis, metastasis and tumour progression. In this study, 67 glutamic acid derivatives, synthesized and evaluated as MMP-2 inhibitors, were taken into account for multi-QSAR modelling study (regressi...

journal_title：SAR and QSAR in environmental research

authors： Jha T,Adhikari N,Saha A,Amin SA

更新日期：2018-01-01 00:00:00

abstract：:Pair-correlation method (PCM) has been developed for selecting between two, correlated descriptor variables. PCM utilizes systematic information present in the scatter of QSAR applications. The data are suitably ordered in a 2 x 2 contingency table. Statistical tests are used to discriminate between the descriptor var...

journal_title：SAR and QSAR in environmental research

authors： Héberger K,Rajkó R

更新日期：2002-07-01 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

authors： Sridhar J,Foroozesh M,Stevens CL

更新日期：2011-10-01 00:00:00

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 squa...

journal_title：SAR and QSAR in environmental research

authors： Wiese M,Schaper KJ

更新日期：1993-01-01 00:00:00

abstract：:The high-throughput screening (HTS) of large proprietary compound collections and combinatorial libraries has put an increased pressure on getting pharmacokinetic and drug metabolism data as early as possible. Properties related to absorption, distribution, metabolism and excretion (ADME) can be estimated by a range o...

journal_title：SAR and QSAR in environmental research

authors： Van de Waterbeemd H,De Groot M

更新日期：2002-05-01 00:00:00

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：:Major scientific hurdles in the acceptance of quantitative structure-activity relationships (QSAR) for regulatory purposes have been identified. First, when quantifying important features of chemical structure complexities of molecular structure have often been ignored. More mechanistic modelling of chemical structure...

journal_title：SAR and QSAR in environmental research

authors： Mekenyan O,Dimitrov S,Schmieder P,Veith G

更新日期：2003-10-01 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

authors： Estrada E,Molina E,Uriarte E

更新日期：2001-01-01 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：: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

authors： Bodor N,Buchwald P,Huang MJ

更新日期：1998-01-01 00:00:00

abstract：:The present theoretical study analyses the Quantum QSPR fundamental linear equation predictive power. Two main alternative algorithms, among several possible choices, are fully described in an add one and add many basis, while the other possibilities are only sketched out. It is shown that one can also apply the descr...

journal_title：SAR and QSAR in environmental research

authors： Carbó-Dorca R

更新日期：2007-05-01 00:00:00

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...

journal_title：SAR and QSAR in environmental research

authors： Sharma R,Patil S,Maurya P

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

authors： Doucet JP,Doucet-Panaye A

更新日期：2014-01-01 00:00:00

abstract：:The electrotopological state (E-State) and its extension, the atom-type E-State, is presented as a representation of atom and molecular fragment structure useful for chemical database organization and management. An approach to database organization, using substituted esters and benzene derivatives as examples, reveal...

journal_title：SAR and QSAR in environmental research

authors： Kier LB,Hall LH

更新日期：2001-01-01 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

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

更新日期：2012-07-01 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：: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

authors： Haftka JJ,Parsons JR,Govers HA

更新日期：2009-01-01 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

authors： Stanton DT,Dimitrov S,Grancharov V,Mekenyan OG

更新日期：2002-03-01 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

authors： Tuppurainen K

更新日期：1997-01-01 00:00:00

abstract：:Gas phase acidity and basicity estimation models have been developed for acidic and basic functional groups of amino acid side-chains and also for a number of small organic molecules. The acidic functional groups include aliphatic and aromatic alcohol, and aliphatic and aromatic carboxylic acid, and the basic function...

journal_title：SAR and QSAR in environmental research

authors： You H,Kim GE,Na CH,Lee S,Lee CJ,Cho KH,Akiyama Y,Ishida T,No KT

更新日期：2014-01-01 00:00:00

abstract：:Chagas disease is endemic to 21 Latin American countries and is a great public health problem in that region. Current chemotherapy remains unsatisfactory; consequently the need to search for new drugs persists. Here we present a new approach to identify novel compounds with potential anti-chagasic action. A large data...

journal_title：SAR and QSAR in environmental research

authors： Castillo-Garit JA,Barigye SJ,Pham-The H,Pérez-Doñate V,Torrens F,Pérez-Giménez F

更新日期：2021-01-01 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：:Influence of the molecular structure of macrocyclic pyridinophanes, their analogues and some other compounds on anticancer activity (Leukemia, central nervous system (CNS) cancer, prostate cancer, breast cancer, melanoma, non-small cell lung cancer, colon cancer, ovarian cancer, renal cancer) was investigated by means...

journal_title：SAR and QSAR in environmental research

authors： Kuz'min VE,Artemenko AG,Lozytska RN,Fedtchouk AS,Lozitsky VP,Muratov EN,Mescheriakov AK

更新日期：2005-06-01 00:00:00

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...

journal_title：SAR and QSAR in environmental research

authors： Nandy A,Roy K,Saha A

更新日期：2015-01-01 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：: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：: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

authors： Murtazalieva KA,Druzhilovskiy DS,Goel RK,Sastry GN,Poroikov VV

更新日期：2017-10-01 00:00:00