Hierarchical QSAR technology based on the Simplex representation of molecular structure

被引:112
作者
Kuz'min, V. E. [1 ]
Artemenko, A. G. [1 ]
Muratov, E. N. [1 ]
机构
[1] Natl Acad Sci Ukraine, Physicochem Inst, UA-65080 Odessa, Ukraine
关键词
anticancer activity; antiviral activity; applicability domain; drug design; mechanistic interpretation of QSAR; molecular descriptors; 1D-4D QSAR; QSPR; selectivity; toxicity; virtual screening;
D O I
10.1007/s10822-008-9179-6
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
This article is about the hierarchical quantitative structure-activity relationship technology (HiT QSAR) based on the Simplex representation of molecular structure (SiRMS) and its application for different QSAR/QSP(property)R tasks. The essence of this technology is a sequential solution (with the use of the information obtained on the previous steps) to the QSAR problem by the series of enhanced models of molecular structure description [from one dimensional (1D) to four dimensional (4D)]. It is a system of permanently improved solutions. In the SiRMS approach, every molecule is represented as a system of different simplexes (tetratomic fragments with fixed composition, structure, chirality and symmetry). The level of simplex descriptors detailing increases consecutively from the 1D to 4D representation of the molecular structure. The advantages of the approach reported here are the absence of "molecular alignment" problems, consideration of different physical-chemical properties of atoms (e.g. charge, lipophilicity, etc.), the high adequacy and good interpretability of obtained models and clear ways for molecular design. The efficiency of the HiT QSAR approach is demonstrated by comparing it with the most popular modern QSAR approaches on two representative examination sets. The examples of successful application of the HiT QSAR for various QSAR/QSPR investigations on the different levels (1D-4D) of the molecular structure description are also highlighted. The reliability of developed QSAR models as predictive virtual screening tools and their ability to serve as the base of directed drug design was validated by subsequent synthetic and biological experiments, among others. The HiT QSAR is realized as a complex of computer programs known as HiT QSAR software that also includes a powerful statistical block and a number of useful utilities.
引用
收藏
页码:403 / 421
页数:19
相关论文
共 61 条
[1]   Molecular design of active antiherpetic compounds using hierarchic QSAR technology [J].
Artemenko, A. ;
Kuz'min, V. ;
Muratov, E. ;
Fedchuk, A. ;
Lozitsky, V. ;
Gridina, T. ;
Lozytska, R. ;
Basok, S. ;
Chikhichin, D. .
ANTIVIRAL RESEARCH, 2007, 74 (03) :A76-A76
[2]  
ARTEMENKO A, 2006, CLIN MICROBIOL INFEC, V12, P1557
[3]   Identification of individual structural fragments of N,N'-(bis-5-nitropyrimidyl)dispirotripiperazine derivatives for cytotoxicity and antiherpetic activity allows the prediction of new highly active compounds [J].
Artemenko, A. G. ;
Muratov, E. N. ;
Kuz'min, V. E. ;
Kovdienko, N. A. ;
Hromov, A. I. ;
Makarov, V. A. ;
Riabova, O. B. ;
Wutzler, P. ;
Schmidtke, M. .
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2007, 60 (01) :68-77
[4]  
Artemenko AG, 2005, ANTIVIR RES, V65, pA77
[5]   ANTIRHINOVIRAL ACTIVITY OF HETEROCYCLIC-ANALOGS OF WIN-54954 [J].
BAILEY, TR ;
DIANA, GD ;
KOWALCZYK, PJ ;
AKULLIAN, V ;
EISSENSTAT, MA ;
CUTCLIFFE, D ;
MALLAMO, JP ;
CARABATEAS, PM ;
PEVEAR, DC .
JOURNAL OF MEDICINAL CHEMISTRY, 1992, 35 (24) :4628-4633
[6]   2D QSAR consensus prediction for high-throughput virtual screening. An application to COX-2 inhibition modeling and screening of the NCI database [J].
Baurin, N ;
Mozziconacci, JC ;
Arnoult, E ;
Chavatte, P ;
Marot, C ;
Morin-Allory, L .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2004, 44 (01) :276-285
[7]  
Bodor N, 2000, MED RES REV, V20, P58, DOI 10.1002/(SICI)1098-1128(200001)20:1<58::AID-MED3>3.0.CO
[8]  
2-X
[9]  
Burkert U., 1982, Molecular Mechanics
[10]  
Butina D, 2003, J CHEM INF COMP SCI, V43, P837, DOI [10.1021/ci020279y, 10.1021/6020279y]