QSAR models for predicting octanol/water and organic carbon/water partition coefficients of polychlorinated biphenyls.

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 models have been already developed. In this paper, two different methods, which are multiple linear regression based on the descriptors generated using Dragon software and hologram quantitative structure-activity relationships, were employed to predict suspended particulate matter (SPM) derived log KOC and generator column, shake flask and slow stirring method derived log KOW values of 209 PCBs. The predictive ability of the derived models was validated using a test set. The performances of all these models were compared with EPI Suite™ software. The results indicated that the proposed models were robust and satisfactory, and could provide feasible and promising tools for the rapid assessment of the SPM derived log KOC and generator column, shake flask and slow stirring method derived log KOW values of PCBs.

journal_name

SAR QSAR Environ Res

authors

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

doi

10.1080/1062936X.2016.1158734

subject

Has Abstract

pub_date

2016-04-01 00:00:00

pages

249-63

issue

4

eissn

1062-936X

issn

1029-046X

journal_volume

27

pub_type

杂志文章
  • QSAR classification model for diverse series of antifungal agents based on improved binary differential search algorithm.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2019.1568298

    authors: Al-Fakih AM,Algamal ZY,Lee MH,Aziz M,Ali HTM

    更新日期:2019-02-01 00:00:00

  • Creation of predictive models of aquatic toxicity of environmental pollutants with different mechanisms of action on the basis of molecular similarity and HYBOT descriptors.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360412331297498

    authors: Raevsky OA,Dearden JC

    更新日期:2004-10-01 00:00:00

  • Partial least squares modelling of the acute toxicity of aliphatic compounds to Tetrahymena pyriformis.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936032000101501

    authors: Netzeva TI,Schultz TW,Aptula AO,Cronin MT

    更新日期:2003-08-01 00:00:00

  • Bayesian analysis and inference from QSAR predictive model results.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360290002280

    authors: McDowell RM,Jaworska JS

    更新日期:2002-03-01 00:00:00

  • Strategic selection of chemicals for testing. Part I. Functionalities and performance of basic selection methods.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360902723996

    authors: Aladjov H,Todorov M,Schmieder P,Serafimova R,Mekenyan O,Veith G

    更新日期:2009-01-01 00:00:00

  • Identification of structural fingerprints for ABCG2 inhibition by using Monte Carlo optimization, Bayesian classification, and structural and physicochemical interpretation (SPCI) analysis.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2020.1771769

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

    更新日期:2020-06-01 00:00:00

  • DFT study on the structure-toxicity relationship of dioxin compounds using PLS analysis.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360701428755

    authors: Gu CG,Jiang X,Ju XH,Yang XL,Yu GF

    更新日期:2007-07-01 00:00:00

  • Identification of potential HIV-1 integrase strand transfer inhibitors: in silico virtual screening and QM/MM docking studies.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2013.772919

    authors: Reddy KK,Singh SK,Tripathi SK,Selvaraj C

    更新日期:2013-01-01 00:00:00

  • QSTR with extended topochemical atom (ETA) indices. 15. Development of predictive models for toxicity of organic chemicals against fathead minnow using second-generation ETA indices.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2011.645872

    authors: Roy K,Das RN

    更新日期:2012-01-01 00:00:00

  • Database organization and searching with E-State indices.

    abstract::The electrotopological state (E-State) and its extension, the atom-type E-State, is presented as a representation of atom and molecular fragment structure useful for chemical database organization and management. An approach to database organization, using substituted esters and benzene derivatives as examples, reveal...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360108035371

    authors: Kier LB,Hall LH

    更新日期:2001-01-01 00:00:00

  • Mechanism-based common reactivity pattern (COREPA) modelling of aryl hydrocarbon receptor binding affinity.

    abstract::The aryl hydrocarbon receptor is a ligand-activated transcription factor responsive to both natural and synthetic environmental compounds, with the most potent agonist being 2,3,7,8-tetrachlotrodibenzo-p-dioxin. The aim of this work was to develop a categorical COmmon REactivity PAttern (COREPA)-based structure-activi...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360903570933

    authors: Petkov PI,Rowlands JC,Budinsky R,Zhao B,Denison MS,Mekenyan O

    更新日期:2010-01-01 00:00:00

  • QSAR models for reproductive toxicity and endocrine disruption in regulatory use--a preliminary investigation.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360802550473

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

    更新日期:2008-01-01 00:00:00

  • An empirical model for gas phase acidity and basicity estimation.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2013.864997

    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

  • Charged partial surface area (CPSA) descriptors QSAR applications.

    abstract::The charged partial surface area, or CPSA descriptors were originally designed for use in structure-physical relationship studies to capture information about the features of molecules responsible for polar intermolecular interactions. Since their development, they have found applications in a broad variety of both st...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360290002811

    authors: Stanton DT,Dimitrov S,Grancharov V,Mekenyan OG

    更新日期:2002-03-01 00:00:00

  • Exploring molecular fingerprints of selective PPARδ agonists through comparative and validated chemometric techniques.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2015.1039576

    authors: Nandy A,Roy K,Saha A

    更新日期:2015-01-01 00:00:00

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

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2012.751552

    authors: Sčavničar A,Balaban AT,Pompe M

    更新日期:2013-01-01 00:00:00

  • Domain of EPI suite biotransformation models.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2010.501816

    authors: Boethling RS,Costanza J

    更新日期:2010-07-01 00:00:00

  • Structural exploration of hydroxyethylamines as HIV-1 protease inhibitors: new features identified.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2018.1447511

    authors: Amin SA,Adhikari N,Bhargava S,Jha T,Gayen S

    更新日期:2018-05-01 00:00:00

  • Structure-toxicity relationships for alkanones and alkenones.

    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

    pub_type: 杂志文章

    doi:10.1080/10629369508233991

    authors: Schultz TW,Sinks GD,Hunter RS

    更新日期:1995-01-01 00:00:00

  • QSAR modelling of water quality indices of alkylphenol pollutants.

    abstract::The aim of this study was to determine the degradability of 26 Alkylphenols (APs) by Chemical Oxygen Demand (COD) and/or 5-day Biochemical Oxygen Demand (BOD(5)), and to describe these data from Quantitative Structure-activity Relationships (QSARs). Statistical analysis techniques, such as Multiple Linear Regression (...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360701698761

    authors: Kim JH,Gramatica P,Kim MG,Kim D,Tratnyek PG

    更新日期:2007-10-01 00:00:00

  • Base-line model for identifying the bioaccumulation potential of chemicals.

    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

    pub_type: 杂志文章

    doi:10.1080/10659360500474623

    authors: Dimitrov S,Dimitrova N,Parkerton T,Comber M,Bonnell M,Mekenyan O

    更新日期:2005-12-01 00:00:00

  • Simplified molecular input line entry system-based optimal descriptors: QSAR modelling for voltage-gated potassium channel subunit Kv7.2.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2013.842930

    authors: Achary PG

    更新日期:2014-01-01 00:00:00

  • A descriptor of amino acids: SVRG and its application to peptide quantitative structure-activity relationship.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2011.604099

    authors: Tong J,Che T,Li Y,Wang P,Xu X,Chen Y

    更新日期:2011-07-01 00:00:00

  • Building on a solid foundation: SAR and QSAR as a fundamental strategy to reduce animal testing.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2014.907203

    authors: Sullivan KM,Manuppello JR,Willett CE

    更新日期:2014-01-01 00:00:00

  • Role of in silico genotoxicity tools in the regulatory assessment of pharmaceutical impurities.

    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

    pub_type: 杂志文章,评审

    doi:10.1080/1062936X.2012.657236

    authors: Fioravanzo E,Bassan A,Pavan M,Mostrag-Szlichtyng A,Worth AP

    更新日期:2012-01-01 00:00:00

  • Molecular lipophilicity calculations of chemically heterogeneous chemicals and drugs on the basis of structural similarity and physicochemical parameters.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360108033245

    authors: Raevsky OA

    更新日期:2001-01-01 00:00:00

  • Decision trees versus support vector machine for classification of androgen receptor ligands.

    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

    pub_type: 杂志文章

    doi:10.1080/10629360701843441

    authors: Panaye A,Doucet JP,Devillers J,Marchand-Geneste N,Porcher JM

    更新日期:2008-01-01 00:00:00

  • Experimental verification of structural alerts for the protein binding of sulfur-containing compounds.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2014.898693

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

    更新日期:2014-01-01 00:00:00

  • Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree.

    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

    pub_type: 杂志文章

    doi:10.1080/1062936X.2020.1863857

    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

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

    abstract::A series of diphenyl ether derivatives were developed and showed promising potency for inhibiting InhA, an essential enoyl acyl carrier protein reductase involved in mycolic acid biosynthesis, leading to the lysis of Mycobacterium tuberculosis. To understand the structural basis of diphenyl ether derivatives for desig...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2014.898690

    authors: Kamsri P,Koohatammakun N,Srisupan A,Meewong P,Punkvang A,Saparpakorn P,Hannongbua S,Wolschann P,Prueksaaroon S,Leartsakulpanich U,Pungpo P

    更新日期:2014-01-01 00:00:00