QSAR Toolbox - workflow and major functionalities.

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：: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

authors： Paananen J,Wong G

更新日期：2006-02-01 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

authors： Pérez-Garrido A,Girón-Rodríguez F,Morales Helguera A,Borges F,Combes RD

更新日期：2014-01-01 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：:Three-dimensional quantitative structure-activity relationship (3D-QSAR) modelling was conducted on a series of leucine-rich repeat kinase 2 (LRRK2) antagonists using CoMFA and CoMSIA methods. The data set, which consisted of 37 molecules, was divided into training and test subsets by using a hierarchical clustering m...

journal_title：SAR and QSAR in environmental research

authors： Pourbasheer E,Aalizadeh R

更新日期：2016-05-01 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 quantitative structure-activity relationship (QSAR) study on 43 amide repellents was carried out by the heuristic method in order to reveal the correlations between molecular parameters of these amides and their repellency against Aedes aegypti. Sketches and optimizations of molecular structures were achieved by the...

journal_title：SAR and QSAR in environmental research

authors： Wang P,Xu X,Liao S,Song J,Fan G,Chen S,Wang Z

更新日期：2017-04-01 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：:An improved binary differential search (improved BDS) algorithm is proposed for QSAR classification of diverse series of antimicrobial compounds against Candida albicans inhibitors. The transfer functions is the most important component of the BDS algorithm, and converts continuous values of the donor into discrete va...

journal_title：SAR and QSAR in environmental research

authors： Al-Fakih AM,Algamal ZY,Lee MH,Aziz M,Ali HTM

更新日期：2019-02-01 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：: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：: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：: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

authors： Petkov PI,Rowlands JC,Budinsky R,Zhao B,Denison MS,Mekenyan O

更新日期：2010-01-01 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：: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：: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：: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：: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：: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

authors： Devillers J,Mombelli E

更新日期：2010-10-01 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 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

authors： Devillers J

更新日期：1999-07-01 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：: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

authors： Amin SA,Adhikari N,Bhargava S,Jha T,Gayen S

更新日期：2018-05-01 00:00:00

abstract：:With the ever-growing number of xenobiotics that can potentially contaminate the environment, the determination of their mammalian toxicity is of prime importance. In this context, LD50 tests on rats and mice have been used for a long time to express the relative hazard associated with the acute toxicity of inorganic ...

journal_title：SAR and QSAR in environmental research

authors： Devillers J,Devillers H

更新日期：2009-07-01 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：: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：:An online resource has been developed for the theoretical study of hydration of biopolymers by the RISM (Reference Interaction Site Model) method, deriving from the integral equation theory of liquids. The online resource is based upon original software developed by the authors and includes all steps in studying a bio...

journal_title：SAR and QSAR in environmental research

authors： Sobolev EV,Sobolev OV,Tikhonov DA

更新日期：2008-04-01 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：: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：: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