E-state modeling of fish toxicity independent of 3D structure information.

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

authors： Balasubramanian K

更新日期：1994-01-01 00:00:00

abstract：:Thiobenzanilides are found to show strong biological activity as antimicrobial, antimycotic, and tuberculostatic agents. In addition, they are relatively weakly toxic to higher organisms. A large set of new (N-phenyl-)-2,4-dihydroxybenzenecarbothioamide derivatives was obtained. Preliminary studies showed high microbi...

journal_title：SAR and QSAR in environmental research

authors： Jóźwiak K,Szumiło H,Senczyna B,Niewiadomy A

更新日期：1999-12-01 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：: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：:In Europe, agencies and official organizations involved in the pesticide control such as the EFSA, ECHA, JRC and ECETOC or even the OECD are pointing out that the software tools based on quantitative structure relationship models, i.e. QSAR and QSPR, have a huge potential to improve the pesticide risk assessment proce...

journal_title：SAR and QSAR in environmental research

authors： Villaverde JJ,Sevilla-Morán B,López-Goti C,Alonso-Prados JL,Sandín-España P

更新日期：2020-01-01 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

authors： Devillers J,Mombelli E

更新日期：2010-10-01 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：: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：:As often noted by Dr. Gilman Veith, a major barrier to advancing any model is defining its applicability domain. Sulfur-containing industrial organic chemicals can be grouped into several chemical classes including mercaptans (RSH), sulfides (RSR'), disulfides (RSSR'), sulfoxides (RS(=O)R'), sulfones (RS(=O)(=O)R'), s...

journal_title：SAR and QSAR in environmental research

authors： Richarz AN,Schultz TW,Cronin MT,Enoch SJ

更新日期：2014-01-01 00:00:00

abstract：:Over half of the failures in drug development are due to problems with the absorption, distribution, metabolism, excretion, and toxicity, or ADME/Tox properties of a candidate compound. The utilization of in silico tools to predict ADME/Tox and physicochemical properties holds great potential for reducing the attritio...

journal_title：SAR and QSAR in environmental research

authors： Abshear T,Banik GM,D'Souza ML,Nedwed K,Peng C

更新日期：2006-06-01 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：: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：: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

authors： Myint KZ,Ma C,Wang L,Xie XQ

更新日期：2011-06-01 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：: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：: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：: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：: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

authors： Asadollahi-Baboli M

更新日期：2013-01-01 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：: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：:Human African trypanosomiasis (HAT) is prevalent in African countries, covering 37 countries, mostly sub-Saharan. A limited number of drugs are available to cure this neglected disease. In the present work, quantitative structure-activity (toxicity) relationships (QSA(T)R) analysis has been performed for a dataset of ...

journal_title：SAR and QSAR in environmental research

authors： Masand VH,El-Sayed NN,Mahajan DT,Rastija V

更新日期：2017-02-01 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 series of our SAR and QSAR studies of synthetic moulting hormone agonists, dibenzoylhydrazines (DBH), exhibiting insecticidal/larvicidal activity are reviewed in this article. We prepared a number of analogues where various substituents are introduced into the two benzene rings of DBH and measured their biological a...

journal_title：SAR and QSAR in environmental research

authors： Fujita T,Nakagawa Y

更新日期：2007-01-01 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：:γ-tubulin plays crucial role in the nucleation and organization of microtubules during cell division. Recent studies have also indicated its role in the regulation of microtubule dynamics at the plus end of the microtubules. Moreover, γ-tubulin has been found to be over-expressed in many cancer types, such as carcinom...

journal_title：SAR and QSAR in environmental research

authors： Suri C,Naik PK

更新日期：2015-06-01 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：: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：: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：: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：: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