In Silico ADME Profiling of Salubrinal and Its Analogues

Author:

Zadorozhnii Pavlo V.ORCID,Kiselev Vadym V.,Kharchenko Aleksandr V.

Abstract

This work reports on a complex in silico assessment of the ADME properties of Salubrinal (S1) and 54 of its structural analogues containing a cinnamic acid residue (S2–S40) or a quinoline ring (S41–S55). In the work for (Q)SAR forecast, the online servers SwissADME, ADMETlab, admetSAR 2.0, Molinspiration, ALOGPS 2.1, pkCSM, SuperCYPsPred, and Vienna LiverTox were used. In addition, using AutoDock Vina, molecular docking studies were performed with transporter proteins and metabolic enzymes, which were intended to interact with the test compounds. In silico assessment of the ability of the S1–S55 compounds to be absorbed in the intestine was carried out using the SAR classification models implemented in these servers, as well as on the basis of two empirical rules—Lipinski’s and Veber’s. Most of the studied compounds had moderate lipophilicity (MLogP ˂ 4.15) and a polar surface area of less than 140 Å2. They complied with Lipinski’s and Veber’s rules, and are predicted to have good intestinal absorption. In silico analysis of the distribution of the S1–S55 compounds throughout the body, the volume of distribution at steady-state (Vdss), the ability to bind to blood plasma proteins and cross the blood-brain barrier (BBB) were taken into account. Most compounds are predicted to have low or medium Vdss and the ability to cross the BBB. Molecular docking studies were carried out with the structures most important for drug binding of blood plasma proteins, human serum albumin (HSA), and alpha-1-acid glycoprotein (AGP). The studies showed that these substances can effectively bind to blood plasma proteins. When assessing metabolism, the prediction of inhibitory and substrate activity to cytochromes P450 (CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A4) was carried out. For most of these enzymes, the analyzed compounds are likely to be potential inhibitors, as indicated by the molecular docking data. For all studied compounds, a low total clearance (CLtot. ˂ 5 mL/min/kg) and a half-life time (T1/2 ˂ 3 h) are predicted.

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3