Synthesis, antifeedant activity against Coleoptera and 3D QSAR study of alpha-asarone derivatives.

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：: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：: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 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：: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：:Existing models for the reductive dehalogenation reaction under environmentally relevant conditions use Hammett and Taft coefficients as descriptors. Drawbacks of these descriptors are the limited possibilities for interpretation in terms of reaction mechanisms, and the limited availability of these descriptors for mo...

journal_title：SAR and QSAR in environmental research

authors： Rorije E,Langenberg JH,Richter J,Peijnenburg WJ

更新日期：1995-01-01 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：:Three modelling systems (MultiCase®, LeadScope® and MDL® QSAR) were used for construction of androgenic receptor antagonist models. There were 923-942 chemicals in the training sets. The models were cross-validated (leave-groups-out) with concordances of 77-81%, specificity of 78-91% and sensitivity of 51-76%. The spe...

journal_title：SAR and QSAR in environmental research

authors： Jensen GE,Nikolov NG,Wedebye EB,Ringsted T,Niemela JR

更新日期：2011-03-01 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：: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：: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：: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 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：: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：: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：: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：: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：:A special challenge in the new European Union chemicals legislation, Registration, Evaluation and Authorisation of Chemicals, will be the toxicological evaluation of chemicals for reproductive toxicity. Use of valid quantitative structure-activity relationships (QSARs) is a possibility under the new legislation. This ...

journal_title：SAR and QSAR in environmental research

authors： Jensen GE,Niemelä JR,Wedebye EB,Nikolov NG

更新日期：2008-01-01 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：: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：: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：: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 limited availability and variability of data related to atmospheric degradation reaction is a very relevant issue in studies related to environmental fate and behavior of chemicals. For screening purposes, the experimental data of the oxidation rate constants for the reactions with the radicals OH, NO3 and with oz...

journal_title：SAR and QSAR in environmental research

authors： Gramatica P,Pilutti P,Papa E

更新日期：2002-12-01 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：:Biofouling in the marine environment is a major problem. In this study, three marine organisms, namely Bacillus flexus (LD1), Pseudomonas fluorescens (MD3) and Vibrio natriegens (MD6), were isolated from biofilms formed on polymer and metal surfaces immersed in ocean water. Phylogenetic analysis of these three organis...

journal_title：SAR and QSAR in environmental research

authors： Sivakumar PM,Prabhawathi V,Doble M

更新日期：2010-04-01 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：: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：: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：:()New data, tools and services recently made available on the web server (http://cactus.nci.nih.gov) of the Computer-Aided Drug Design (CADD) Group, NCI, NIH, developed in the context of chemoinformatics and drug development work, are presented. These tools are designed for searching for structures in very large datab...

journal_title：SAR and QSAR in environmental research

authors： Sitzmann M,Filippov IV,Nicklaus MC

更新日期：2008-01-01 00:00:00

abstract：:The ability to estimate aquatic toxicity is a critical need for ecological risk assessment and chemical regulation. The consensus in the literature is that mode of action (MOA) based toxicity models yield the most toxicologically meaningful and, theoretically, the most accurate results. In this study, a two-step predi...

journal_title：SAR and QSAR in environmental research

authors： Martin TM,Young DM,Lilavois CR,Barron MG

更新日期：2015-01-01 00:00:00