Publicly available QSPR models for environmental media persistence.

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：: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：: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：: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：:COX-2 inhibitors exhibit anticancer effects in various cancer models but due to the adverse side effects associated with these inhibitors, targeting molecules downstream of COX-2 (such as mPGES-1) has been suggested. Even after calls for mPGES-1 inhibitor design, to date there are only a few published inhibitors targe...

journal_title：SAR and QSAR in environmental research

authors： Misra S,Saini M,Ojha H,Sharma D,Sharma K

更新日期：2017-01-01 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 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：: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：: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：: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：: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：:Juvenile hormone esterase (JHE) plays a key role in the development and metamorphosis of holometabolous insects. Its inhibitors could possibly be targeted for insect control. Conversely, JHE may also be involved in endocrine disruption by xenobiotics, resulting in detrimental effects in beneficial insects. There is th...

journal_title：SAR and QSAR in environmental research

authors： Doucet JP,Doucet-Panaye A

更新日期：2014-01-01 00:00:00

abstract：:Quantitative structure-property relationship modelling can be a valuable alternative method to replace or reduce experimental testing. In particular, some endpoints such as octanol-water (KOW) and organic carbon-water (KOC) partition coefficients of polychlorinated biphenyls (PCBs) are easier to predict and various mo...

journal_title：SAR and QSAR in environmental research

authors： Yu S,Gao S,Gan Y,Zhang Y,Ruan X,Wang Y,Yang L,Shi J

更新日期：2016-04-01 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：:Retrometabolic drug design approaches incorporate metabolic and toxicological considerations into the drug design process and represent a novel, systematic methodology for the design of safe compounds. Two major design concepts aimed to increase the therapeutic index (the activity/toxicity ratio) of drugs were develop...

journal_title：SAR and QSAR in environmental research

authors： Bodor N,Buchwald P,Huang MJ

更新日期：1998-01-01 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：: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：: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：:The human breast cancer resistance protein (BCRP), one of the members of the large ATP binding cassette (ABC) transporter superfamily, is crucial for resistance against chemotherapeutic agents. Currently, it has been emerged as one of the best biological targets for the designing of small molecule drugs capable of eli...

journal_title：SAR and QSAR in environmental research

authors： Ghosh K,Bhardwaj B,Amin SA,Jha T,Gayen S

更新日期：2020-06-01 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：: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：: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：: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：: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：: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：: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：: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：: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