Kuz'min V E, Artemenko A G, Lozytska R N, Fedtchouk A S, Lozitsky V P, Muratov E N, Mescheriakov A K
Chemical Department, I.I. Mechnikov Odessa National University, 2 Dvoryanskaya Street, Odessa 65026, Ukraine.
SAR QSAR Environ Res. 2005 Jun;16(3):219-30. doi: 10.1080/10659360500037206.
Influence of the molecular structure of macrocyclic pyridinophanes, their analogues and some other compounds on anticancer activity (Leukemia, central nervous system (CNS) cancer, prostate cancer, breast cancer, melanoma, non-small cell lung cancer, colon cancer, ovarian cancer, renal cancer) was investigated by means of a new 4D-QSAR approach based on the simplex representation of molecular structures (SiRMS). For all the investigated molecules, the 3D structural models were first created and the set of conformers (fourth dimension) was used. Each conformer was represented as a system of different simplexes (tetratomic fragments of fixed structure, chirality and symmetry). Statistic characteristics of the QSAR partial least squares (PLS) models were satisfactory (correlation coefficient r=0.990-0.861; cross-validation coefficient CVR=0.914-0.633). The molecular fragments increasing and decreasing anticancer activity were defined. This information may be useful for the design and direct synthesis of novel anticancer agents.
通过基于分子结构单纯形表示法(SiRMS)的新型4D-QSAR方法,研究了大环吡啶并菲及其类似物和其他一些化合物的分子结构对抗癌活性(白血病、中枢神经系统(CNS)癌、前列腺癌、乳腺癌、黑色素瘤、非小细胞肺癌、结肠癌、卵巢癌、肾癌)的影响。对于所有研究的分子,首先创建3D结构模型,并使用构象异构体集(第四维)。每个构象异构体都表示为不同单纯形(具有固定结构、手性和对称性的四原子片段)的系统。QSAR偏最小二乘(PLS)模型的统计特征令人满意(相关系数r = 0.990 - 0.861;交叉验证系数CVR = 0.914 - 0.633)。确定了增加和降低抗癌活性的分子片段。这些信息可能有助于新型抗癌药物的设计和直接合成。