Functionalized p-cymene and pyrazine derivatives: Physicochemical, ADMT, drug-likeness, and DFT studies

IF 2.6 4区 生物学 Q2 BIOLOGY
Goncagül Serdaroğlu
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引用次数: 0

Abstract

The p-cymene and pyrazine derivatives functionalized with the hydroxy and methoxy group(s) were under the focus to explore the electronic structural properties, which would play a critical role in the biochemical reactivity features via performing systematic computational analyses. The DFT computations of the data set were performed by B3LYP/6–311 G* * level to predict the structural and electronic properties as well as the physicochemical values. The physicochemical properties such as lipophilicity and water solubility features were determined because these values should be in balance with each other in early-stage-drug-design research. The averaged lipophilicity of the p-cymene and pyrazine derivatives were calculated as CYM3 (2.39)< CYM1 (2.82)< CYM4 (3.11)< CYM2 (3.21)< CYM (3.50) and PYZ3 (1.22)< PYZ (1.28)< PYZ1 (1.40)< PYZ2 (1.79)< PYZ4 (2.00), respectively. According to the ESOL approach, the water solubility (mg/mL)x10−2 values of the p-cymene and pyrazine compounds were changed in the following orders of CYM3 (15.6)> CYM4 (10.2)> CYM1 (7.40)>CYM2 (5.16)> CYM (3.12) and PYZ (512)> PYZ1 (170)> PYZ3 (166)> PYZ2 (118)> PYZ4 (77.3), respectively. The ADMT properties of the data set were dealt with in detail to estimate the structural advantage or disadvantage because the possible side effects on human-health and the environment have to be considered in designing the novel agent in addition to the possible potencies. All compounds would be promising agents in terms of the Caco-2 and MDCK penetration and Pgp-inhibition potencies. According to the IGC50, LC50FM, and LC50DM results, the p-cymene compounds could have lower (or no) risk than the glyphosate and pyrazine derivatives like being for BCF scores. The FMO analyses were performed to estimate the possible reactive region for nucleophilic or electrophilic attacks.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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