Application of variable anti-connectivity index to active sites. Modelling pK(a) values of aliphatic monocarboxylic acids.

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：: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：: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：: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：: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：:A number of structure-odor relationships concerning odor intensity and odor quality are presented. The sets which were used, the statistical methods which were employed and the principal results of the studies are analyzed and discussed. An attempt was made to recognize principal trends in the field of structure-odor ...

journal_title：SAR and QSAR in environmental research

authors： Chastrette M

更新日期：1997-01-01 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：: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：: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 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：: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：: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：:It is well known that bromodomain-containing protein 4 (BRD4) has been thought as a promising target utilized for treating various human diseases, such as inflammatory disorders, malignant tumours, acute myelogenous leukaemia (AML), bone diseases, etc. For this study, molecular dynamics (MD) simulations, binding free ...

journal_title：SAR and QSAR in environmental research

authors： Wu SL,Wang LF,Sun HB,Wang W,Yu YX

更新日期：2020-07-01 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：: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：: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：: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：: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：: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：: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：: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 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：: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 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：: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：:Molecular similarity methods have emerged as powerful tools in analog selection, chemical classification based on toxic modes of action, and property estimation. The basic assumption of structure-activity relationships (SAR) is that similar structures usually have similar properties. Therefore, similarity methods can ...

journal_title：SAR and QSAR in environmental research

authors： Gute BD,Grunwald GD,Mills D,Basak SC

更新日期：2001-02-01 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：: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：: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