2012
DOI: 10.1016/j.bmc.2012.07.020
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ANN multiplexing model of drugs effect on macrophages; theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen

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Cited by 55 publications
(32 citation statements)
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“…The second type are scores k (c j ) are similar to the moving averages used in time series analysis for ARIMA models and others. 67,68 This type of moving average or deviation-like models has been used before to solve different problems in QSAR. 67,68 It means that, first, we sum the values of D i k for all the n j drugs with A i (c j ) = 1 in the assay carried out in the conditions c j .…”
Section: Discussionmentioning
confidence: 99%
“…The second type are scores k (c j ) are similar to the moving averages used in time series analysis for ARIMA models and others. 67,68 This type of moving average or deviation-like models has been used before to solve different problems in QSAR. 67,68 It means that, first, we sum the values of D i k for all the n j drugs with A i (c j ) = 1 in the assay carried out in the conditions c j .…”
Section: Discussionmentioning
confidence: 99%
“…The flexibility of ANNs relied on for possibilities to adapt them to solve different regression and classification tasks, so that they could be used in different branches of nature sciences [35] . In particular, they have proven their incredible usefulness in proteomics, epidemiology, and in many other related disciplines [33][34][35][36][37][38] . As it comes to their applications in the branch of applied spectroscopy, detailed FTIR studies by Turkey et al showed that they could be a very useful method to provide proteomic information on protein-related effects of pentylenetetrazol-induced seizures induced in the rat brain [39] .…”
Section: Introductionmentioning
confidence: 99%
“…However, there have been equally important advanced and sophisticated QSAR approaches based on the classification method [13] which can effectively predict whether a chemical is biologically active or inactive. Recently [14][15][16][17][18][19][20][21], such classification based QSAR models have been reported for predicting the toxicity, of large and heterogeneous datasets of compounds, against many organisms, besides assessing multiple toxicological profiles under diverse experimental conditions. For example, Tenorio-Borroto et al [14][15][16], had proposed multi-target quantitative structure-activity/property relationships (mt-QSAR/QSPR) models along with the flow cytometry analysis for the prediction of cytotoxicity and immunotoxicity, which can effectively models the drug-target interactions and effects of organic compounds over the cellular and molecular targets of immune system.…”
Section: Introductionmentioning
confidence: 99%