Rational design of InhA inhibitors in the class of diphenyl ether derivatives as potential anti-tubercular agents using molecular dynamics simulations.

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：: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：: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 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：:QSAR models have been under development for decades but acceptance and utilization of model results have been slow, in part, because there is no widely accepted metric for assessing their reliability. We reapply a method commonly used in quantitative epidemiology and medical decision-making for evaluating the results ...

journal_title：SAR and QSAR in environmental research

authors： McDowell RM,Jaworska JS

更新日期：2002-03-01 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：: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：:Semiempirical quantum calculations were performed on a series of organophosphorus fluoridates to determine the relative reactivity for hydrolysis. This value was determined by subtracting the energy of the metastable intermediate from the energy of the stable molecule. Plotting this relative reactivity for each compou...

journal_title：SAR and QSAR in environmental research

authors： White WE

更新日期：1999-01-01 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：: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：: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：:The high-throughput screening (HTS) of large proprietary compound collections and combinatorial libraries has put an increased pressure on getting pharmacokinetic and drug metabolism data as early as possible. Properties related to absorption, distribution, metabolism and excretion (ADME) can be estimated by a range o...

journal_title：SAR and QSAR in environmental research

authors： Van de Waterbeemd H,De Groot M

更新日期：2002-05-01 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：:CORAL software has been used to build quantitative structure-activity relationships (QSARs) for the prediction of binding affinities (pEC50, i.e., minus decimal logarithm of the 50% effective concentration) of 35 potent inhibitors towards the voltage-gated potassium channel subunit Kv7.2. The pEC50 has been modelled u...

journal_title：SAR and QSAR in environmental research

authors： Achary PG

更新日期：2014-01-01 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：: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：: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：: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：: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

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：: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：: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 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：: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：: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：: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：: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：:Recent advances in the knowledge of parasite biology have unveiled many new antimalarial targets for drug development. The glycogen synthase kinase-3 from Plasmodium falciparum (PfGSK-3) plays an active role in the completion of the asexual erythrocytic stage of P. falciparum life cycle. Due to the limited availabilit...

journal_title：SAR and QSAR in environmental research

authors： Balasaheb Aher R,Roy K

更新日期：2015-01-01 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：: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