About the prediction of molecular properties using the fundamental Quantum QSPR (QQSPR) equation.

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：: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：:An approach to the interpretation of backpropagation neural network models for quantitative structure-activity and structure-property relationships (QSAR/QSPR) studies is proposed. The method is based on analyzing the first and second moments of distribution of the values of the first and the second partial derivative...

journal_title：SAR and QSAR in environmental research

authors： Baskin II,Ait AO,Halberstam NM,Palyulin VA,Zefirov NS

更新日期：2002-03-01 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：: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

authors： Norinder U

更新日期：2005-02-01 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：:QSARs based on molecular polarizability (alpha) and H-bond acceptor factors (sigma Ca) as independent variables provided good predictability of octanol/water partition coefficients (P) for chemicals and drugs. However, for some molecules containing few functional groups, the calculated values deviated significantly fr...

journal_title：SAR and QSAR in environmental research

authors： Raevsky OA

更新日期：2001-01-01 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

authors： Haftka JJ,Parsons JR,Govers HA

更新日期：2009-01-01 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

authors： Lunghini F,Marcou G,Azam P,Enrici MH,Van Miert E,Varnek A

更新日期：2020-07-01 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

authors： Goel RK,Gawande DY,Lagunin AA,Poroikov VV

更新日期：2018-01-01 00:00:00

abstract：:The relative toxicity (log IGC50(-1)) of 49 selected aliphatic amines and aminoalkanols was evaluated in the static Tetrahymena pyriformis population growth impairment assay. Excess toxicity, indicated by potency greater than predicted for non-polar narcotic alkanols, was associated with both classes of test chemicals...

journal_title：SAR and QSAR in environmental research

authors： Sinks GD,Carver TA,Schultz TW

更新日期：1998-01-01 00:00:00

abstract：:Recent advances in the knowledge of parasite biology have unveiled many new antimalarial targets for drug development. The glycogen synthase kinase-3 from Plasmodium falciparum (PfGSK-3) plays an active role in the completion of the asexual erythrocytic stage of P. falciparum life cycle. Due to the limited availabilit...

journal_title：SAR and QSAR in environmental research

authors： Balasaheb Aher R,Roy K

更新日期：2015-01-01 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：: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：: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：: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

authors： Rose K,Hall LH

更新日期：2003-04-01 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：: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

authors： Netzeva TI,Schultz TW,Aptula AO,Cronin MT

更新日期：2003-08-01 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：: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：: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：:The OECD QSAR Toolbox is a software application intended to be used by governments, the chemical industry and other stakeholders in filling gaps in (eco)toxicity data needed for assessing the hazards of chemicals. The development and release of the Toolbox is a cornerstone in the computerization of hazard assessment, ...

journal_title：SAR and QSAR in environmental research

authors： Dimitrov SD,Diderich R,Sobanski T,Pavlov TS,Chankov GV,Chapkanov AS,Karakolev YH,Temelkov SG,Vasilev RA,Gerova KD,Kuseva CD,Todorova ND,Mehmed AM,Rasenberg M,Mekenyan OG

更新日期：2016-03-01 00:00:00

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...

journal_title：SAR and QSAR in environmental research

authors： Dimitrova M,Ilieva S,Galabov B

更新日期：2004-08-01 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：: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：: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

authors： Gramatica P,Pilutti P,Papa E

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

authors： Sitzmann M,Filippov IV,Nicklaus MC

更新日期：2008-01-01 00:00:00

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

authors： Salahinejad M,Zolfonoun E

更新日期：2018-12-01 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