In silico prediction of aqueous solubility

被引:86
|
作者
Dearden, John C. [1 ]
机构
[1] Liverpool John Moores Univ, Sch Pharm & Chem, Liverpool L3 3AF, Merseyside, England
关键词
aqueous solubility; drugs; prediction; QSPR; software;
D O I
10.1517/17460441.1.1.31
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The fundamentals of aqueous solubility, and the factors that affect it, are briefly outlined, followed by a short introduction to quantitative structure property relationships. Early (pre-1990) work on aqueous solubility prediction is summarised, and a more detailed presentation and critical discussion are given of the results of most, if not all, of those published in silico prediction studies from 1990 onwards that have used diverse training sets. A table is presented of a number of studies that have used a 21-compound test set of drugs and pesticides to validate their aqueous solubility models. Finally, the results are given of a test of 15 commercially available software programs for aqueous solubility prediction, using a test set of 122 drugs with accurately measured aqueous solubilities.
引用
收藏
页码:31 / 52
页数:22
相关论文
共 50 条
  • [41] In silico prediction of aqueous solubility, human plasma protein binding and volume of distribution of compounds from calculated pKa and AlogP98 values
    Lobell, Mario
    Sivarajah, Vinothini
    MOLECULAR DIVERSITY, 2003, 7 (01) : 69 - 87
  • [42] In silico prediction of aqueous solubility, human plasma protein binding and volume of distribution of compounds from calculated pKa and AlogP98 values
    Mario Lobell
    Vinothini Sivarajah
    Molecular Diversity, 2003, 7 : 69 - 87
  • [43] A computational model for the prediction of aqueous solubility that includes crystal packing, intrinsic solubility, and ionization effects
    Johnson, Stephen R.
    Chen, Xue-Qing
    Murphy, Denette
    Gudmundsson, Olafur
    MOLECULAR PHARMACEUTICS, 2007, 4 (04) : 513 - 523
  • [44] In silico prediction of drug solubility:: 2.: Free energy of solvation in pure melts
    Luder, Kai
    Lindfors, Lennart
    Westergren, Jan
    Nordholm, Sture
    Kjellander, Roland
    JOURNAL OF PHYSICAL CHEMISTRY B, 2007, 111 (07): : 1883 - 1892
  • [45] In Silico Crystal Growth Rate Prediction for NaCl from Aqueous Solution
    Joswiak, Mark N.
    Peters, Baron
    Doherty, Michael F.
    CRYSTAL GROWTH & DESIGN, 2018, 18 (10) : 6302 - 6306
  • [46] Salt Solubility and Disproportionation - Uses and Limitations of Equations for pHmax and the In-silico Prediction of pHmax
    Avdeef, Alex
    Sugano, Kiyohiko
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2022, 111 (01) : 225 - 246
  • [47] In Silico Prediction of Eye Irritation Using Hansen Solubility Parameters and Predicted pKa Values
    Andersson, Martin
    Norinder, Ulf
    Chavan, Swapnil
    Cotgreave, Ian
    ATLA-ALTERNATIVES TO LABORATORY ANIMALS, 2023, 51 (03): : 204 - 209
  • [48] Thermodynamic, Computational Solubility Parameters in Organic Solvents and In Silico GastroPlus Based Prediction of Ketoconazole
    Alshehri, Sultan
    Hussain, Afzal
    Ahsan, Mohd Neyaz
    Ali, Raisuddin
    Siddique, Mohd Usman Mohd
    ACS OMEGA, 2021, 6 (07): : 5033 - 5045
  • [49] SolTranNet-A Machine Learning Tool for Fast Aqueous Solubility Prediction
    Francoeur, Paul G.
    Koes, David R.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, 61 (06) : 2530 - 2536
  • [50] Prediction of aqueous solubility of a strongly soluble solute from molecular simulation
    Carruthers, James
    Ferrario, Mauro
    Anwar, Jamshed
    JOURNAL OF CHEMICAL PHYSICS, 2023, 159 (04):