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Tenorio-Borroto E, Castañedo N, García-Mera X, Rivadeneira K, Vázquez Chagoyán JC, Barbabosa Pliego A, Munteanu CR, González-Díaz H. Perturbation Theory Machine Learning Modeling of Immunotoxicity for Drugs Targeting Inflammatory Cytokines and Study of the Antimicrobial G1 Using Cytometric Bead Arrays. Chem Res Toxicol 2019; 32:1811-1823. [PMID: 31327231 DOI: 10.1021/acs.chemrestox.9b00154] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
ChEMBL biological activities prediction for 1-5-bromofur-2-il-2-bromo-2-nitroethene (G1) is a difficult task for cytokine immunotoxicity. The current study presents experimental results for G1 interaction with mouse Th1/Th2 and pro-inflammatory cytokines using a cytometry bead array (CBA). In the in vitro test of CBA, the results show no significant differences between the mean values of the Th1/Th2 cytokines for the samples treated with G1 with respect to the negative control, but there are moderate differences for cytokine values between different periods (24/48 h). The experiments show no significant differences between the mean values of the pro-inflammatory cytokines for the samples treated with G1, regarding the negative control, except for the values of tumor necrosis factor (TNF) and Interleukin (IL6) between the group treated with G1 and the negative control at 48 h. Differences occur for these cytokines in the periods (24/48 h). The study confirmed that the antimicrobial G1 did not alter the Th1/Th2 cytokines concentration in vitro in different periods, but it can alter TNF and IL6. G1 promotes free radicals production and activates damage processes in macrophages culture. In order to predict all ChEMBL activities for drugs in other experimental conditions, a ChEMBL data set was constructed using 25 biological activities, 1366 assays, 2 assay types, 4 assay organisms, 2 organisms, and 12 cytokine targets. Molecular descriptors calculated with Rcpi and 15 machine learning methods were used to find the best model able to predict if a drug could be active or not against a specific cytokine, in specific experimental conditions. The best model is based on 120 selected molecular descriptors and a deep neural network with area under the curve of the receiver operating characteristic of 0.904 and accuracy of 0.832. This model predicted 1384 G1 biological activities against cytokines in all ChEMBL data set experimental conditions.
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Affiliation(s)
- Esvieta Tenorio-Borroto
- Department of Organic Chemistry, Faculty of Pharmacy , University of Santiago de Compostela , 15782 Santiago de Compostela , Spain.,Center for Research and Advanced Studies in Animal Health, Faculty of Veterinary Medicines and Animal Husbandry , Autonomous University of Mexico State (UAEM) , 50200 Toluca , México
| | - Nilo Castañedo
- Chemical Bioactive Center (CBQ) , Central University of Las Villas (UCLV) , 50100 Santa Clara , Cuba
| | - Xerardo García-Mera
- Department of Organic Chemistry, Faculty of Pharmacy , University of Santiago de Compostela , 15782 Santiago de Compostela , Spain
| | - Kenneth Rivadeneira
- RNASA-IMEDIR, Computer Science Faculty , University of A Coruna (UDC) , 15071 A Coruña , Spain
| | - Juan Carlos Vázquez Chagoyán
- Center for Research and Advanced Studies in Animal Health, Faculty of Veterinary Medicines and Animal Husbandry , Autonomous University of Mexico State (UAEM) , 50200 Toluca , México
| | - Alberto Barbabosa Pliego
- Center for Research and Advanced Studies in Animal Health, Faculty of Veterinary Medicines and Animal Husbandry , Autonomous University of Mexico State (UAEM) , 50200 Toluca , México
| | - Cristian R Munteanu
- RNASA-IMEDIR, Computer Science Faculty , University of A Coruna (UDC) , 15071 A Coruña , Spain.,Biomedical Research Institute of A Coruña (INIBIC) , University Hospital Complex of A Coruña (CHUAC) , 15006 A Coruña , Spain
| | - Humbert González-Díaz
- Department of Organic Chemistry II , University of the Basque Country UPV/EHU , 48940 Leioa , Spain.,IKERBASQUE , Basque Foundation for Science , 48011 Bilbao , Spain
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Zhou E, Fu Y, Wei Z, Yu Y, Zhang X, Yang Z. Thymol attenuates allergic airway inflammation in ovalbumin (OVA)-induced mouse asthma. Fitoterapia 2014; 96:131-7. [DOI: 10.1016/j.fitote.2014.04.016] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Revised: 04/22/2014] [Accepted: 04/22/2014] [Indexed: 02/06/2023]
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