The article describes the development of a robust pharmacophore model and the investigation of structure activity relationship analysis of 3-amino-4-(2-cyanopyrrolidide)pyrrolidinyl analogs reported for DPP-IV inhibition using PHASE module of Schrodinger software. The present works also encompass molecular interaction study of 3-amino-4-(2- cyanopyrrolidide)pyrrolidinyl analogs on maestro 8.5 workstation. The Phase study module comprises the five points pharmacophore model (AAHPR.617), consisting two hydrogen bond acceptor (A), one Hydrophobic (H), one Positive(P) and one aromatic ring (R) and with discrete geometries as pharmacophoric feature. The developed pharmacophore model was used to derive a predictive atom-based 3D QSAR model. The obtained 3D QSAR model has an excellent correlation coefficient value (r2=0.9926) along with good statistical significance as shown by high Fisher ratio (F=671.7). The model also exhibits good predictive power, which is confirmed by high value of cross validated correlation coefficient (q2 = 0.7311). The QSAR model suggests that hydrophobic and aromatic characters are crucial for the DPP-IV inhibitory activity. The QSAR model also suggests that the inclusion of hydrophobic substituents would enhance the DPP-IV inhibition. In addition to the hydrogen bond acceptor, hydrophobic character, electro withdrawing character positively contributes to the DPP-IV inhibition. This study provides a set of guidelines for designing compounds with better DPP-IV inhibitory potency.

译文

:本文介绍了使用Schrodinger软件的PHASE模块开发的稳健药效团模型的开发以及报道的可抑制DPP-IV的3-氨基-4-(2-氰基吡咯烷酮)吡咯烷基类似物的结构活性关系分析。本工作还包括在大师8.5工作站上的3-氨基-4-(2-氰基吡咯烷)吡咯烷基类似物的分子相互作用研究。阶段研究模块包括五点药效团模型(AAHPR.617),由两个氢键受体(A),一个疏水性(H),一个正性(P)和一个芳香环(R)组成,并且具有离散的几何结构作为药效团特征。开发的药效团模型用于推导基于原子的预测3D QSAR模型。所获得的3D QSAR模型具有出色的相关系数值(r2 = 0.9926),并且具有较高的统计显着性,如高费舍尔比率(F = 671.7)所示。该模型还显示出良好的预测能力,这可以通过交叉验证的相关系数的高值来确认(q2 = 0.7311)。 QSAR模型表明疏水和芳香特性对DPP-IV抑制活性至关重要。 QSAR模型还表明,包含疏水取代基将增强DPP-IV抑制作用。除氢键受体外,疏水性,电撤离性对DPP-IV抑制也有积极作用。这项研究为设计具有更好的DPP-IV抑制能力的化合物提供了一套指导方针。

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