How to acquire new biological activities in old compounds by computer prediction

被引:98
作者
Poroikov, VV [1 ]
Filimonov, DA [1 ]
机构
[1] Russian Acad Med Sci, Inst Biomed Chem, Moscow 119121, Russia
关键词
lead finding; computer prediction; PASS; biological activity spectra; drug efficacy and safety; new drug indication;
D O I
10.1023/A:1023836829456
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
Due to the directed way of testing chemical compounds' in drug research and development many projects fail because serious adverse effects and toxicity are discovered too late, and many existing prospective activities remain unstudied. Evaluation of the general biological potential of molecules is possible using a computer program PASS that predicts more than 780 pharmacological effects, mechanisms of action, mutagenicity, carcinogenicity, etc. on the basis of structural formulae of compounds, with average accuracy similar to85%. PASS applications to both databases of available samples included hundreds of thousands compounds, and small collections of compounds synthesized by separate medicinal chemists are described. It is shown that 880 compounds from Prestwick chemical library represent a very diverse pharmacological space. New activities can be found in existing compounds by prediction. Therefore, on this basis, the selection of compounds with required and without unwanted properties is possible. Even when PASS cannot predict very new activities, it may recognize some unwanted actions at the early stage of R&D, providing the medicinal chemist with the means to increase the efficiency of projects.
引用
收藏
页码:819 / 824
页数:6
相关论文
共 10 条
  • [1] Discriminating between drugs and nondrugs by prediction of activity spectra for substances (PASS)
    Anzali, S
    Barnickel, G
    Cezanne, B
    Krug, M
    Filimonov, D
    Poroikov, V
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2001, 44 (15) : 2432 - 2437
  • [2] Chemical similarity assessment through multilevel neighborhoods of atoms: definition and comparison with the other descriptors
    Filimonov, D
    Poroikov, V
    Borodina, Y
    Gloriozova, T
    [J]. JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1999, 39 (04): : 666 - 670
  • [3] FILIMONOV DA, 1995, 2 RUS NAT C MAN DRUG, P62
  • [4] PASS: prediction of activity spectra for biologically active substances
    Lagunin, A
    Stepanchikova, A
    Filimonov, D
    Poroikov, V
    [J]. BIOINFORMATICS, 2000, 16 (08) : 747 - 748
  • [5] Poroikov V, 2001, RATIONAL APPROACHES TO DRUG DESIGN, P403
  • [6] Top 200 medicines: Can new actions be discovered through computer-aided prediction?
    Poroikov, V
    Akimov, D
    Shabelnikova, E
    Filimonov, D
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2001, 12 (04) : 327 - 344
  • [7] POROIKOV V, 2001, NITROGEN CONTAINING, P149
  • [8] Robustness of biological activity spectra predicting by computer program PASS for noncongeneric sets of chemical compounds
    Poroikov, VV
    Filimonov, DA
    Borodina, YV
    Lagunin, AA
    Kos, A
    [J]. JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2000, 40 (06): : 1349 - 1355
  • [9] VANDEWATERBEEMD H, 2001, MED CHEM RES, V10, P431
  • [10] Wermuth CG, 2001, MED CHEM RES, V10, P431