Effects of chemical reactivity of the toxicity of phosphorus fluoridates.

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：: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：: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：: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：: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：: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：: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 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：:To develop quantitative structure-activity relationships (QSAR) models capable of predicting adverse effects for large chemical inventories and diverse structures, an interactive approach is presented that includes testing of strategically selected chemicals to expand the scope of a preliminary model to cover a target...

journal_title：SAR and QSAR in environmental research

authors： Aladjov H,Todorov M,Schmieder P,Serafimova R,Mekenyan O,Veith G

更新日期：2009-01-01 00:00:00

abstract：:HIV-1 integrase (IN) is a retroviral enzyme that catalyses integration of the reverse-transcribed viral DNA into the host genome, which is necessary for efficient viral replication. In this study, we have performed an in silico virtual screening for the identification of potential HIV-1 IN strand transfer (ST) inhibit...

journal_title：SAR and QSAR in environmental research

authors： Reddy KK,Singh SK,Tripathi SK,Selvaraj C

更新日期：2013-01-01 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：: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：: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：: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：:QSPR analyses of the solubility in water of 558 vapors, 786 liquids and 2045 solid organic neutral chemicals and drugs are presented. Simultaneous consideration of H-bond acceptor and donor factors leads to a good description of the solubility of vapors and liquids. A volume-related term was found to have an essential...

journal_title：SAR and QSAR in environmental research

authors： Raevsky O,Andreeva E,Raevskaja O,Skvortsov V,Schaper K

更新日期：2005-02-01 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：: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：: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：: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：: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：: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：: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

authors： Sullivan KM,Manuppello JR,Willett CE

更新日期：2014-01-01 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：: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

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：:The base-line modeling concept presented in this work is based on the assumption of a maximum bioconcentration factor (BCF) with mitigating factors that reduce the BCF. The maximum bioconcentration potential was described by the multi-compartment partitioning model for passive diffusion. The significance of different ...

journal_title：SAR and QSAR in environmental research

authors： Dimitrov S,Dimitrova N,Parkerton T,Comber M,Bonnell M,Mekenyan O

更新日期：2005-12-01 00:00:00

abstract：:Literature data on the toxicity of chlorophenols for three luminescent bacteria (Vibrio fischeri, and the lux-marked Pseudomonas fluorescens 10586s pUCD607 and Burkholderia spp. RASC c2 (Tn4431)) have been analyzed in relation to a set of computed molecular physico-chemical properties. The quantitative structure-toxic...

journal_title：SAR and QSAR in environmental research

authors： Warne MA,Boyd EM,Meharg AA,Osborn D,Killham K,Lindon JC,Nicholson JK

更新日期：1999-01-01 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：:Quantitative structure-property relationship (QSPR) models were developed for predicting the pungency of a set of capsaicinoids. Multiple linear regression (MLR) coupled with topological substructural molecular descriptor (TOPS-MODE) approach was used. The best MLR model based on only five orthogonalized TOPS-MODE var...

journal_title：SAR and QSAR in environmental research

authors： Yu S,Jia S,Wang D,Lv Z,Chen Y,Wang N,Yao W,Yuan J

更新日期：2020-07-01 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