Pregled bibliografske jedinice broj: 907794
Predicting of biological targets, admet properties and QSAR studies in a series of entactogen substances of phenylethylamine class
Predicting of biological targets, admet properties and QSAR studies in a series of entactogen substances of phenylethylamine class // 6th Pharmaceutical Sciences World Congress (PSWC), FIP Congress in Stockholm 2017, Online Abstracts
Stockholm: International Pharmaceutical Federation (FIP), 2017. PSWC-18066, 1 (poster, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Predicting of biological targets, admet properties and QSAR studies in a series of entactogen substances of phenylethylamine class
Autori
Jadrijević-Mladar Takač, Milena ; Takač, Tin
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
6th Pharmaceutical Sciences World Congress (PSWC), FIP Congress in Stockholm 2017, Online Abstracts
/ - Stockholm : International Pharmaceutical Federation (FIP), 2017
Skup
6th Pharmaceutical Sciences World Congress 2017, Future Medicines For One World - Systems approaches to drug discovery, development and clinical usage
Mjesto i datum
Stockholm, Švedska, 21.05.2017. - 24.05.2017
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Entactogens ; Phenylethylamine derivatives ; Biological targets ; ADMET ; QSAR
(entactogens ; phenylethylamine derivatives ; biological targets ; ADMET ; QSAR)
Sažetak
Backgrounds. Many of new and formerly obscure compounds, including entactogens, have appeared on the illicit drug market. Their rapid appearance and largely unknown character put them into a legal gray area. Aim. The aim of this study was to predict an ADMET properties of selected entactogens in order to get more insights in their safety profile. Methods. Entactogens of phenylethylamine class (n = 25) were evaluated in QSAR studies using computed molecular descriptors (LogP, Mr, TPSA, V) and ADMET properties predicted by ADMET PredictorTM 8.0 (Simulations Plus, USA). Using Swiss Target Prediction software the sodium dependent serotonin or dopamine transporters and trace amine-associated receptors were revealed as targets with the highest probability for majority of these substances. Results. The most significant correlations were obtained between ADMET Risk vs. CYP Risk (R = 0.9997) ; MLogP vs. TOX hERG (cardiotoxicity) and TOX ATTP (Acute toxicity in Tetrahymena pyriformis) with R = 0.7511 and R = 0.7601, respectively. These molecules are both CYP inhibitors (1A2, 2D6) and CYP substrates (1A2, 2B6, 2C9, 2C19, 2D6 and 2E1). The following toxicological parameters were also predicted: ADMET risk 1 – 4 (codes 1A, 2C19, 2D6, Mu or Hp) ; CYP risk 1 - 2.72 (codes 1A2, 2D6 and 2C19) and TOX risk 0 - 3.446 with codes of mutagenicity (Mu) and hepatotoxicity (Hp). Mu was predicted for MDMEO or 1-(1, 3-benzodioxol-5-yl)-N-methoxypropan-2-amine (14) and MDOH or 3, 4-methylenedioxy-N-hydroxyamphetamine (15) while both Hp and Mu were predicted for MDCPM or 3, 4-methylenedioxy-N-cyclopropylmethylamphetamine (18). Summary/Conclusion. MDCPM was with worst toxicological profile among all investigated entactogen molecules in this study.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Farmacija
POVEZANOST RADA
Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
Fakultet kemijskog inženjerstva i tehnologije, Zagreb