Essential Structural Profile of Novel Adenosine Derivatives as Antiplatelet Aggregation Inhibitors Based on 3D-QSAR Analysis Using CoMFA, CoMSIA, and SOMFA

被引:4
作者
Li, Shunlai [1 ]
Bao, XueFeng [1 ]
Lu, Chenghu [1 ]
Ren, Chaorui [1 ]
Liu, Guocheng [1 ]
Du, Hongguang [1 ]
机构
[1] Beijing Univ Chem Technol, Coll Sci, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
adenosine derivatives; design; antiplatelet aggregation activity; 3D-QSAR; CoMFA; MOLECULAR SIMILARITY INDEXES; PREVENTION; DISCOVERY; RECEPTOR;
D O I
10.1134/S1068162020030103
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In this study, comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), and the self-organizing molecular field analysis (SOMFA) were performed on a series of novel adenosine derivatives. Significant correlation coefficients (CoMFA,q(2)= 0.560,r(2)= 0.940, F value = 71.850, and SEE = 0.097; CoMSIA,q(2)= 0.528,r(2)= 0.943, F value = 29.29 and SEE = 0.108; SOMFA,r(2)= 0.615, r(ev)(2) = 0.577, F value = 60.797, and SEE = 0.226) were obtained, and the generated models were validated using test sets. By analyzing the corresponding contour maps in detail, new adenosine derivatives with potential efficacy were designed for synthesis in the future.
引用
收藏
页码:448 / 457
页数:10
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