Prediction of toxicity and pharmacological potential of selected spice compounds

Q2 Medicine In Silico Biology Pub Date : 2010-02-15 DOI:10.1145/1722024.1722060
A. Riju, K. Sithara, S. S. Nair, S. Eapen
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引用次数: 5

Abstract

The use of computational tools in the prediction of ADME/Tox properties of compounds is growing rapidly in drug discovery as the benefits they provide in high throughput and early application in drug design are realized. Numerous examples exist of drugs that have had to be withdrawn, because of unacceptable toxicity, in clinical trials and even after reaching the market. In this study phytochemicals from selected spices were used to predict their rodent carcinogenicity, mutagenicity, PPB and BBB. Out of 108 compounds analysed, we found that only five compounds as non-mutagenic and non-carcinogenic and all the remaining were toxic in a pharmacological perspective. The five non-toxic compounds are alpha-zingiberene, delphinidin, laurotetanine, malabaricone-B and malabaricone-C. The PPB values of alpha-zingiberene, delphinidin and laurotetanine are in the <90% range (57.58, 88.41, 52.59, respectively) indicating that the three compounds were weakly bound to plasma proteins and the other two (malabaricone-B and malabaricone-C) strongly binds to plasma protein. The identification of delphinidin as a naturally occurring inhibitor of VEGF (vascular endothelial growth factor) receptors suggests that this molecule possesses important antiangiogenic properties that may be helpful for the prevention and treatment of cancer. The healing activity of malabaricone B and malabaricone C, the major antioxidant constituents of Myristaceae family, against indomethacin-induced gastric ulceration in mice has been studied. Though spices are well known for their antioxidant, antimicrobial, antinflammatory properties etc., this study clearly indicates the plethora of carcinogenic behaviour of spice compounds.
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预测选定香料化合物的毒性和药理潜力
计算工具在预测化合物ADME/Tox特性方面的使用在药物发现中迅速增长,因为它们在高通量和药物设计中的早期应用中提供了好处。在临床试验中,甚至在上市后,由于不可接受的毒性而不得不撤回药物的例子数不胜数。本研究从香料中提取植物化学物质,对其致癌性、诱变性、PPB和BBB进行预测。在分析的108种化合物中,我们发现只有5种化合物是非致突变性和非致癌性的,其余所有化合物从药理学角度来看都是有毒的。这五种无毒化合物分别是-青果烯、飞燕苷、月桂破伤风碱、马拉巴里酮- b和马拉巴里酮- c。α -姜绿烯、飞鸽苷和laurotetanine的PPB值均在<90%的范围内(分别为57.58、88.41和52.59),表明这3种化合物与血浆蛋白的结合较弱,而另外2种化合物(malabaricon - b和malabaricon - c)与血浆蛋白的结合较强。水飞蓟素作为血管内皮生长因子受体的天然抑制剂的鉴定表明,这种分子具有重要的抗血管生成特性,可能有助于预防和治疗癌症。研究了肉豆蔻科主要抗氧化成分马拉巴利酮B和马拉巴利酮C对吲哚美辛致小鼠胃溃疡的愈合作用。尽管香料以其抗氧化、抗菌、抗炎等特性而闻名,但这项研究清楚地表明,香料化合物有过多的致癌行为。
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来源期刊
In Silico Biology
In Silico Biology Computer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍: The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.
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