Physicochemical descriptors in property-based drug design

被引:54
作者
Raevsky, OA [1 ]
机构
[1] Russian Acad Sci, Inst Physiol Act Cpds, Dept Comp Aided Mol Design, Chernogolovka 142432, Moscow Region, Russia
关键词
ADMET; descriptors; lipophilicity; solubility; absorption; QSAR; H-bond; similarity;
D O I
10.2174/1389557043402964
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The contribution of physicochemical descriptors to lipophilicity, water solubility, and intestinal absorption and oral bioavailability in humans is considered. Partitioning in the octanol/water system is presented as a competition between two opposing effects: volume and hydrogen bond acceptor ability. Water solubilities of liquid compounds are roughly equal to their reciprocal logP values. However, there is also a detectable contribution of H-bond donor ability to water solubility. The main problem in predicting the solubilities of solid chemicals and drugs is the estimation of their crystal lattice energies. QSAR approaches that add terms such as melting point, and the product of H-bond donor and acceptor parameters are not sufficient to make these predictions practical. Human intestinal absorption for passively transported drugs is almost completely correlated with hydration processes that are determined by H-bond acceptor and donor abilities. It is emphasized that structural features of drug molecules have significant influences on their properties. Classic QSAR approaches are not enough to create stable, predictive models for diverse drugs. A combination of Similarity and QSAR approaches is one possibility to take all physicochemical properties in addition to structural features into account.
引用
收藏
页码:1041 / 1052
页数:12
相关论文
共 50 条
  • [41] Importance of Physicochemical Properties for the Design of New Pesticides
    Akamatsu, Miki
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2011, 59 (07) : 2909 - 2917
  • [42] On the importance of topological descriptors in understanding structure-property relationships
    Stanton, David T.
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2008, 22 (6-7) : 441 - 460
  • [43] Physicochemical vs. Vibrational Descriptors for Prediction of Odor Receptor Responses
    Gabler, Stephan
    Soelter, Jan
    Hussain, Taufia
    Sachse, Silke
    Schmuker, Michael
    MOLECULAR INFORMATICS, 2013, 32 (9-10) : 855 - 865
  • [44] Beyond Rule of Five and PROTACs in Modern Drug Discovery: Polarity Reducers, Chameleonicity, and the Evolving Physicochemical Landscape
    Price, Edward
    Weinheimer, Manuel
    Rivkin, Alexey
    Jenkins, Gary
    Nijsen, Marjoleen
    Cox, Philip B.
    Degoey, David
    JOURNAL OF MEDICINAL CHEMISTRY, 2024, 67 (07) : 5683 - 5698
  • [45] Physicochemical profiling of drug candidates using capillary-based techniques
    Jensen, H.
    Larsen, S. W.
    Larsen, C.
    Ostergaard, J.
    JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY, 2013, 23 (04) : 333 - 345
  • [46] A Prospective Method To Guide Small Molecule Drug Design
    Johnson, Alan T.
    JOURNAL OF CHEMICAL EDUCATION, 2015, 92 (05) : 836 - 842
  • [47] QSARtuna: An Automated QSAR Modeling Platform for Molecular Property Prediction in Drug Design
    Mervin, Lewis
    Voronov, Alexey
    Kabeshov, Mikhail
    Engkvist, Ola
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2024, 64 (14) : 5365 - 5374
  • [48] Unified Physicochemical Property Estimation Relationships (UPPER)
    Lian, Bo
    Yalkowsky, Samuel H.
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2014, 103 (09) : 2710 - 2723
  • [49] Calculation of Aqueous Solubility of Crystalline Un-Ionized Organic Chemicals and Drugs Based on Structural Similarity and Physicochemical Descriptors
    Raevsky, Oleg A.
    Grigorev, Veniamin Yu.
    Polianczyk, Daniel E.
    Raevskaja, Olga E.
    Dearden, John C.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2014, 54 (02) : 683 - 691
  • [50] Neural computational prediction of oral drug absorption based on CODES 2D descriptors
    Guerra, A.
    Campillo, N. E.
    Paez, J. A.
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2010, 45 (03) : 930 - 940