Literature DB >> 30103859

Automated assays for thermodynamic (equilibrium) solubility determination.

Tomás Sou1, Christel A S Bergström2.   

Abstract

Solubility is a crucial physicochemical property for drug candidates and is important in both drug discovery and development. Poor solubility is detrimental to absorption after oral administration and can mask compound activity in bioassays in various ways. Hence, solubility liabilities should ideally be identified as early as possible in the drug development process. With the increasing number of compounds as potential drug candidates, automated thermodynamic solubility assays for high throughput screening enabling rapid evaluation of a large number of compounds are becoming increasingly important. This review discusses the current status of the most widely used automated assays for thermodynamic solubility, followed by recent high throughput measurements of properties related to solubility (e.g. dissolution rate and supersaturation) and a brief overview of predictive computational methods for thermodynamic solubility reported in the literature.
Copyright © 2018. Published by Elsevier Ltd.

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Year:  2018        PMID: 30103859     DOI: 10.1016/j.ddtec.2018.04.004

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  6 in total

1.  Discovery of a first-in-class reversible DNMT1-selective inhibitor with improved tolerability and efficacy in acute myeloid leukemia.

Authors:  Melissa B Pappalardi; Kathryn Keenan; Mark Cockerill; Wendy A Kellner; Alexandra Stowell; Christian Sherk; Kristen Wong; Sarath Pathuri; Jacques Briand; Michael Steidel; Philip Chapman; Arthur Groy; Ashley K Wiseman; Charles F McHugh; Nino Campobasso; Alan P Graves; Emma Fairweather; Thilo Werner; Ali Raoof; Roger J Butlin; Lourdes Rueda; John R Horton; David T Fosbenner; Cunyu Zhang; Jessica L Handler; Morris Muliaditan; Makda Mebrahtu; Jon-Paul Jaworski; Dean E McNulty; Charlotte Burt; H Christian Eberl; Amy N Taylor; Thau Ho; Susan Merrihew; Shawn W Foley; Anna Rutkowska; Mei Li; Stuart P Romeril; Kristin Goldberg; Xing Zhang; Christopher S Kershaw; Marcus Bantscheff; Anthony J Jurewicz; Elisabeth Minthorn; Paola Grandi; Mehul Patel; Andrew B Benowitz; Helai P Mohammad; Aidan G Gilmartin; Rab K Prinjha; Donald Ogilvie; Christopher Carpenter; Dirk Heerding; Stephen B Baylin; Peter A Jones; Xiaodong Cheng; Bryan W King; Juan I Luengo; Allan M Jordan; Ian Waddell; Ryan G Kruger; Michael T McCabe
Journal:  Nat Cancer       Date:  2021-09-27

2.  Optimization of a Pyrimidinone Series for Selective Inhibition of Ca2+/Calmodulin-Stimulated Adenylyl Cyclase 1 Activity for the Treatment of Chronic Pain.

Authors:  Jason A Scott; Monica Soto-Velasquez; Michael P Hayes; Justin E LaVigne; Heath R Miller; Jatinder Kaur; Karin F K Ejendal; Val J Watts; Daniel P Flaherty
Journal:  J Med Chem       Date:  2022-03-10       Impact factor: 8.039

3.  Automated solubility screening platform using computer vision.

Authors:  Parisa Shiri; Veronica Lai; Tara Zepel; Daniel Griffin; Jonathan Reifman; Sean Clark; Shad Grunert; Lars P E Yunker; Sebastian Steiner; Henry Situ; Fan Yang; Paloma L Prieto; Jason E Hein
Journal:  iScience       Date:  2021-02-12

Review 4.  Employing Constant Rate Filtration To Assess Active Pharmaceutical Ingredient Washing Efficiency.

Authors:  Muhid Shahid; Chloé Faure; Sara Ottoboni; Leo Lue; Chris Price
Journal:  Org Process Res Dev       Date:  2021-12-21       Impact factor: 3.317

Review 5.  Perspectives in solubility measurement and interpretation.

Authors:  Christel A S Bergström; Alex Avdeef
Journal:  ADMET DMPK       Date:  2019-04-05

Review 6.  Electrospun nanofibers: A nanotechnological approach for drug delivery and dissolution optimization in poorly water-soluble drugs.

Authors:  Luis Castillo-Henríquez; Rolando Vargas-Zúñiga; Jorge Pacheco-Molina; Jose Vega-Baudrit
Journal:  ADMET DMPK       Date:  2020-07-05
  6 in total

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