Prediction of metabolites of epoxidation reaction in MetaTox

被引:10
作者
Rudik, A. V. [1 ]
Dmitriev, A. V. [1 ]
Bezhentsev, V. M. [1 ]
Lagunin, A. A. [1 ,2 ]
Filimonov, D. A. [1 ]
Poroikov, V. V. [1 ]
机构
[1] Inst Biomed Chem IBMC, Moscow, Russia
[2] Pirogov Russian Natl Res Med Univ, Medicobiol Fac, Moscow, Russia
基金
俄罗斯科学基金会;
关键词
Epoxidation; SOE; acute toxicity; metabolism; biotransformation; xenobiotics metabolism; reactive metabolite; tienilic acid; toxic metabolite; prediction; PASS; IN-SILICO PREDICTION; DRUG-REACTIONS; CYTOCHROME-P450; THIOPHENE; OXIDATION; TOXICITY; SITES; BIOACTIVATION; XENOBIOTICS; TARGETS;
D O I
10.1080/1062936X.2017.1399165
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Biotransformation is a process of the chemical modifications which may lead to the reactive metabolites, in particular the epoxides. Epoxide reactive metabolites may cause the toxic effects. The prediction of such metabolites is important for drug development and ecotoxicology studies. Epoxides are formed by some oxidation reactions, usually catalysed by cytochromes P450, and represent a large class of three-membered cyclic ethers. Identification of molecules, which may be epoxidized, and indication of the specific location of epoxide functional group (which is called SOE - site of epoxidation) are important for prediction of epoxide metabolites. Datasets from 355 molecules and 615 reactions were created for training and validation. The prediction of SOE is based on a combination of LMNA (Labelled Multilevel Neighbourhood of Atom) descriptors and Bayesian-like algorithm implemented in PASS software and MetaTox web-service. The average invariant accuracy of prediction (AUC) calculated in leave-one-out and 20-fold cross-validation procedures is 0.9. Prediction of epoxide formation based on the created SAR model is included as the component of MetaTox web-service (http://www.way2drug.com/mg).
引用
收藏
页码:833 / 842
页数:10
相关论文
共 47 条
[1]   Reactive intermediates and the pathogenesis of adverse drug reactions: The toxicology perspective [J].
Amacher, DE .
CURRENT DRUG METABOLISM, 2006, 7 (03) :219-229
[2]  
[Anonymous], 2017, BIOV MET DAT
[3]   Deleterious effects of reactive metabolites [J].
Attia, Sabry M. .
OXIDATIVE MEDICINE AND CELLULAR LONGEVITY, 2010, 3 (04) :238-253
[4]   Drug metabolism and pharmacokinetics [J].
Benedetti, Margherita Strolin ;
Whomsley, Rhys ;
Poggesi, Italo ;
Cawello, Willi ;
Mathy, Francois-Xavier ;
Delporte, Marie-Laure ;
Papeleu, Peggy ;
Watelet, Jean-Baptiste .
DRUG METABOLISM REVIEWS, 2009, 41 (03) :344-390
[5]   Mechanism-Based Inactivation of Human Cytochrome P450 2B6 by Chlorpyrifos [J].
D'Agostino, Jaime ;
Zhang, Haoming ;
Kenaan, Cesar ;
Hollenberg, Paul F. .
CHEMICAL RESEARCH IN TOXICOLOGY, 2015, 28 (07) :1484-1495
[6]   First evidence that cytochrome P450 may catalyze both S-oxidation and epoxidation of thiophene derivatives [J].
Dansette, PM ;
Bertho, G ;
Mansuy, D .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2005, 338 (01) :450-455
[7]   Significantly Different Covalent Binding of Oxidative Metabolites, Acyl Glucuronides, and S-Acyl CoA Conjugates Formed from Xenobiotic Carboxylic Acids in Human Liver Microsomes [J].
Darnell, Malin ;
Breitholtz, Katarina ;
Isin, Emre M. ;
Jurva, Ulrik ;
Weidolf, Lars .
CHEMICAL RESEARCH IN TOXICOLOGY, 2015, 28 (05) :886-896
[8]   Chemical similarity assessment through multilevel neighborhoods of atoms: definition and comparison with the other descriptors [J].
Filimonov, D ;
Poroikov, V ;
Borodina, Y ;
Gloriozova, T .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1999, 39 (04) :666-670
[9]   Bioactivation Potential of Thiophene-Containing Drugs [J].
Gramec, Darja ;
Masic, Lucija Peterlin ;
Dolenc, Marija Sollner .
CHEMICAL RESEARCH IN TOXICOLOGY, 2014, 27 (08) :1344-1358
[10]   Cytochrome P450 and chemical toxicology [J].
Guengerich, F. Peter .
CHEMICAL RESEARCH IN TOXICOLOGY, 2008, 21 (01) :70-83