Modeling of a Series of Dihydropyrazole Derivatives with Antiproliferative Activity by Quantum Chemical Methods

M. Koné, Georges Stéphane Dembélé, B. Ouattara, Adama Niaré, N’nan Akau Amandine Kouamé, P. Karamanis, N. Ziao
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Abstract

Cancer is any disease characterised by the rapid proliferation of abnormal cells in normal body tissue. Recent years have been marked by an increase in the number of cases of cancer, particularly that of the prostate. Cancer can affect any part of the body. Despite the efforts made in the fight against cancer in recent years, the objectives set by the WHO and the various supervisory centers in the countries have not been achieved, because the technical strategy for the fight against cancer in no way guarantees a cure without risk of relapse for patients in general, regardless of the continent. Today, we can offer models of molecules for therapeutic purposes using quantum chemical methods such as molecular modeling to predict better activity or by designing new molecules that are more active than existing ones. To this end, our work consists in setting up a mathematical model between the potential of the inhibitory concentration (pIC50) and the descriptors such as the frequency of vibration υ(N-N), the angle of valence α(N-N-C) and the standard entropy of formation (ΔfS0). This model is confirmed by very good indicators displaying the following values (R2= 0.9108; S= 0.1044; F=20.425) for the MLR model and (R2=0.920; S=0.1393; F=92.823) for the MNLR model. Moreover, these models allowed us to conclude that the vibration frequency υ(N-N) is the priority descriptor in the prediction of the antiproliferative activities of dihydropyrazole derivatives.
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一系列具有抗增殖活性的二氢吡唑衍生物的量子化学建模
癌症是任何以正常身体组织中异常细胞迅速增殖为特征的疾病。近年来,癌症病例,特别是前列腺癌病例的数量有所增加。癌症可以影响身体的任何部位。尽管近年来在与癌症的斗争中作出了努力,但世卫组织和各国各监督中心制定的目标尚未实现,因为与癌症作斗争的技术战略无论在哪个大洲,都无法保证对一般患者无复发风险的治愈。今天,我们可以使用量子化学方法提供用于治疗目的的分子模型,例如分子建模来预测更好的活性,或者通过设计比现有分子更活跃的新分子。为此,我们的工作包括建立抑制浓度电位(pIC50)与描述符(如振动频率υ(N-N),价α(N-N- c)角和标准形成熵(ΔfS0))之间的数学模型。该模型得到了非常好的指标的证实,显示如下值(R2= 0.9108;S = 0.1044;F=20.425), R2=0.920;S = 0.1393;对于MNLR模型,F=92.823)。此外,这些模型使我们得出结论,振动频率υ(N-N)是预测二氢吡唑衍生物抗增殖活性的优先描述符。
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