메뉴 건너뛰기




Volumn 250-251, Issue , 2016, Pages 42-46

Monte Carlo method for predicting of cardiac toxicity: hERG blocker compounds

Author keywords

Cardiac toxicity; CORAL software; Monte Carlo method; OECD principles; QSAR

Indexed keywords

POTASSIUM CHANNEL BLOCKING AGENT; KCNH2 PROTEIN, HUMAN; POTASSIUM CHANNEL HERG;

EID: 84963568220     PISSN: 03784274     EISSN: 18793169     Source Type: Journal    
DOI: 10.1016/j.toxlet.2016.04.010     Document Type: Article
Times cited : (33)

References (25)
  • 1
    • 84907653291 scopus 로고    scopus 로고
    • A human ether-á-go-go-related (hERG) ion channel atomistic model generated by long supercomputer molecular dynamics simulations and its use in predicting drug cardiotoxicity
    • Anwar-Mohamed A., Barakat K.H., Bhat R., Noskov S.Y., Lorne Tyrrell D., Tuszynski J.A., Houghton M. A human ether-á-go-go-related (hERG) ion channel atomistic model generated by long supercomputer molecular dynamics simulations and its use in predicting drug cardiotoxicity. Toxicol. Lett. 2014, 230:382-392.
    • (2014) Toxicol. Lett. , vol.230 , pp. 382-392
    • Anwar-Mohamed, A.1    Barakat, K.H.2    Bhat, R.3    Noskov, S.Y.4    Lorne Tyrrell, D.5    Tuszynski, J.A.6    Houghton, M.7
  • 2
    • 84956610396 scopus 로고    scopus 로고
    • (accessed 17.11.15.)
    • CORAL CORAL Software 2015, (accessed 17.11.15.). http://www.insilico.eu/coral.
    • (2015) CORAL Software
  • 4
    • 82355160734 scopus 로고    scopus 로고
    • A critical assessment of combined ligand- and structure-based approaches to HERG channel blocker modeling
    • Du-Cuny L., Chen L., Zhang S. A critical assessment of combined ligand- and structure-based approaches to HERG channel blocker modeling. J. Chem. Inf. Model. 2011, 51:2948-2960.
    • (2011) J. Chem. Inf. Model. , vol.51 , pp. 2948-2960
    • Du-Cuny, L.1    Chen, L.2    Zhang, S.3
  • 5
    • 77249175263 scopus 로고    scopus 로고
    • Prediction of drug-related cardiac adverse effects in humans-B: use of QSAR programs for early detection of drug-induced cardiac toxicities
    • Frid A.A., Matthews E.J. Prediction of drug-related cardiac adverse effects in humans-B: use of QSAR programs for early detection of drug-induced cardiac toxicities. Regul. Toxicol. Pharm. 2010, 56:276-289.
    • (2010) Regul. Toxicol. Pharm. , vol.56 , pp. 276-289
    • Frid, A.A.1    Matthews, E.J.2
  • 7
    • 79952159586 scopus 로고    scopus 로고
    • A multiscale simulation system for the prediction of drug-induced cardiotoxicity
    • Obiol-Pardo C., Gomis-Tena J., Sanz F., Saiz J., Pastor M. A multiscale simulation system for the prediction of drug-induced cardiotoxicity. J. Chem. Inf. Model. 2011, 51(2):483-492.
    • (2011) J. Chem. Inf. Model. , vol.51 , Issue.2 , pp. 483-492
    • Obiol-Pardo, C.1    Gomis-Tena, J.2    Sanz, F.3    Saiz, J.4    Pastor, M.5
  • 8
    • 35248832636 scopus 로고    scopus 로고
    • Gaussian processes: a method for automatic QSAR modeling of ADME properties
    • Obrezanova O., Csanyi G., Gola J.M., Segall M.D. Gaussian processes: a method for automatic QSAR modeling of ADME properties. J. Chem. Inf. Model. 2007, 47:1847-1857.
    • (2007) J. Chem. Inf. Model. , vol.47 , pp. 1847-1857
    • Obrezanova, O.1    Csanyi, G.2    Gola, J.M.3    Segall, M.D.4
  • 9
    • 84870497380 scopus 로고    scopus 로고
    • Predicted drug-induced bradycardia related cardio toxicity using a zebrafish in vivo model is highly correlated with results from in vitro tests
    • Park M.J., Lee K.-R., Shin D.-S., Chun H.-S., Kim C.-H., Ahn S.-H., Bae M.A. Predicted drug-induced bradycardia related cardio toxicity using a zebrafish in vivo model is highly correlated with results from in vitro tests. Toxicol. Lett. 2013, 216:9-15.
    • (2013) Toxicol. Lett. , vol.216 , pp. 9-15
    • Park, M.J.1    Lee, K.-R.2    Shin, D.-S.3    Chun, H.-S.4    Kim, C.-H.5    Ahn, S.-H.6    Bae, M.A.7
  • 10
    • 77956277962 scopus 로고    scopus 로고
    • Symposium review: revealing the structural basis of action of hERG potassium channel activators and blockers
    • Perry M., Sanguinetti M., Mitcheson J. Symposium review: revealing the structural basis of action of hERG potassium channel activators and blockers. J. Physiol. (Lond.) 2010, 588:3157-3167.
    • (2010) J. Physiol. (Lond.) , vol.588 , pp. 3157-3167
    • Perry, M.1    Sanguinetti, M.2    Mitcheson, J.3
  • 11
    • 33645856496 scopus 로고    scopus 로고
    • A QSAR model of HERG binding using a large, diverse, and internally consistent training set
    • Seierstad M., Agrafiotis D.K. A QSAR model of HERG binding using a large, diverse, and internally consistent training set. Chem. Biol. Drug Des. 2006, 67:284-296.
    • (2006) Chem. Biol. Drug Des. , vol.67 , pp. 284-296
    • Seierstad, M.1    Agrafiotis, D.K.2
  • 12
    • 79151471075 scopus 로고    scopus 로고
    • Predicting hERG activities of compounds from their 3D structures: development and evaluation of a global descriptors based QSARmodel
    • Sinha N., Sen S. Predicting hERG activities of compounds from their 3D structures: development and evaluation of a global descriptors based QSARmodel. Eur. J. Med. Chem. 2011, 46:618-630.
    • (2011) Eur. J. Med. Chem. , vol.46 , pp. 618-630
    • Sinha, N.1    Sen, S.2
  • 13
    • 84861334270 scopus 로고    scopus 로고
    • Predicting the potency of hERG K+ channel inhibition by combining 3D-QSAR pharmacophore and 2D-QSAR models
    • Tan Y., Chen Y., You Q., Sun H., Li M. Predicting the potency of hERG K+ channel inhibition by combining 3D-QSAR pharmacophore and 2D-QSAR models. J. Mol. Model. 2012, 18:1023-1036.
    • (2012) J. Mol. Model. , vol.18 , pp. 1023-1036
    • Tan, Y.1    Chen, Y.2    You, Q.3    Sun, H.4    Li, M.5
  • 14
    • 84900581022 scopus 로고    scopus 로고
    • Optimal descriptor as a translator of eclectic data into endpoint prediction: mutagenicity of fullerene as a mathematical function of conditions
    • Toropov A.A., Toropova A.P. Optimal descriptor as a translator of eclectic data into endpoint prediction: mutagenicity of fullerene as a mathematical function of conditions. Chemosphere 2014, 104:262-264.
    • (2014) Chemosphere , vol.104 , pp. 262-264
    • Toropov, A.A.1    Toropova, A.P.2
  • 15
    • 84922673779 scopus 로고    scopus 로고
    • Quasi-QSAR for mutagenic potential of multi-walled carbon-nanotubes
    • Toropov A.A., Toropova A.P. Quasi-QSAR for mutagenic potential of multi-walled carbon-nanotubes. Chemosphere 2015, 124:40-46.
    • (2015) Chemosphere , vol.124 , pp. 40-46
    • Toropov, A.A.1    Toropova, A.P.2
  • 16
    • 84865704741 scopus 로고    scopus 로고
    • Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
    • Toropov A.A., Toropova A.P., Benfenati E., Gini G., Puzyn T., Leszczynska D., Leszczynski J. Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli. Chemosphere 2012, 89:1098-1102.
    • (2012) Chemosphere , vol.89 , pp. 1098-1102
    • Toropov, A.A.1    Toropova, A.P.2    Benfenati, E.3    Gini, G.4    Puzyn, T.5    Leszczynska, D.6    Leszczynski, J.7
  • 20
    • 84942549197 scopus 로고    scopus 로고
    • Quasi-SMILES and nano-QFAR: United model for mutagenicity of fullerene and MWCNT under different conditions
    • Toropova A.P., Toropov A.A. Quasi-SMILES and nano-QFAR: United model for mutagenicity of fullerene and MWCNT under different conditions. Chemosphere 2015, 139:18-22.
    • (2015) Chemosphere , vol.139 , pp. 18-22
    • Toropova, A.P.1    Toropov, A.A.2
  • 22
    • 84937629636 scopus 로고    scopus 로고
    • Computational investigations of hERG channel blockers: new insights and current predictive models
    • Villoutreix B.O., Taboureau O. Computational investigations of hERG channel blockers: new insights and current predictive models. Adv. Drug Deliv. Rev. 2015, 86:72-82.
    • (2015) Adv. Drug Deliv. Rev. , vol.86 , pp. 72-82
    • Villoutreix, B.O.1    Taboureau, O.2
  • 24
    • 0023965741 scopus 로고
    • SMILES, a chemical language and information system. 1: Introduction to methodology and encoding rules
    • Weininger D. SMILES, a chemical language and information system. 1: Introduction to methodology and encoding rules. J. Chem. Inf. Comput. Sci. 1988, 28:31-36.
    • (1988) J. Chem. Inf. Comput. Sci. , vol.28 , pp. 31-36
    • Weininger, D.1
  • 25
    • 0000144425 scopus 로고
    • Smiles. 3: depict. Graphical depiction of chemical structures
    • Weininger D. Smiles. 3: depict. Graphical depiction of chemical structures. J. Chem. Inf. Comput. Sci. 1990, 30:237-243.
    • (1990) J. Chem. Inf. Comput. Sci. , vol.30 , pp. 237-243
    • Weininger, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.