共 35 条
QSAR study of steroid benchmark and dipeptides based on MEDV-13
被引:82
作者:
Liu, SS
[1
]
Yin, CS
Li, ZL
Cai, SX
机构:
[1] Chongqing Univ, Coll Bioengn, Chongqing 400044, Peoples R China
[2] Univ Sci & Technol China, Struct Biol Lab, Hefei 230026, Peoples R China
[3] Univ Sci & Technol China, Dept Appl Chem, Hefei 230026, Peoples R China
[4] Guilin Inst Technol, Dept Appl Chem, Guilin 541004, Guangxi Prov, Peoples R China
来源:
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
|
2001年
/
41卷
/
02期
关键词:
D O I:
10.1021/ci0003350
中图分类号:
O6 [化学];
学科分类号:
0703 ;
摘要:
A molecular electronegativity distance vector based on 13 atomic types, called MEDV-13, is a descriptor for predicting the biological activities of molecules based on the quantitative structure-activity relations (QSAR). The MEDV-13 uses a modified electrotopological state (E-state) index to substitute for the relative eletronegativity (q) of non-hydrogen atoms in the molecule of interest in the MEDV and a topological distance for the relative distance (d) in the MEDV. For an organic molecule containing several chemical elements such as C, H, O, N, S, F, Cl, Br, I, and P, the MEDV-13 includes at best 91 descriptors. Then it is essential to employ a principal component regression (PCR) technique to derive a QSAR model relating the biological activities to the MEDV-13. The MEDV-13 is used to study the QSAR of the corticosteroid-binding globulin (CBG) binding affinity of the steroids and the activity inhibiting angiotensin-converting enzyme (ACE) of dipeptides, and resulting models have a comparable quality to the current three-dimensional (3D) methods such as CoMFA though the MEDV-13 is a descriptor based on two-dimensional topological information.
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页码:321 / 329
页数:9
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