Recent Advances in Physicochemical and ADMET Profiling in Drug Discovery

The drastic increase in the cost for discovering and developing a new drug along with the high attrition rate of development candidates led to shifting drug‐discovery strategy to parallel assessment of comprehensive drug physicochemical, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties alongside efficacy. With the proposal of a profiling paradigm and utilization of integrated risk assessment, one can exponentially enhance the predictive power of in vitro tools by taking into consideration the interplay among profiling parameters. In particular, this article will review recent advances in accurate assessment of solubility and other physicochemical parameters. The proper interpretation of these experimental data is crucial for rapid and meaningful risk assessment and rational optimization of drug candidates in drug discovery. The impact of these tools on assisting drug‐discovery teams in establishing in vitro–in vivo correlation (IVIVC) as well as structure–property relationship (SPR) will be presented.

[1]  B. Bannwarth,et al.  Potential of immobilized artificial membrane chromatography for lipophilicity determination of arylpropionic acid non-steroidal anti-inflammatory drugs. , 2003, Journal of pharmaceutical and biomedical analysis.

[2]  Bernard Testa,et al.  Immobilized artificial membrane HPLC in drug research. , 2003, Journal of medicinal chemistry.

[3]  J. Dressman,et al.  In vitro-in vivo correlations for lipophilic, poorly water-soluble drugs. , 2000, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[4]  F. Lombardo,et al.  ElogPoct: a tool for lipophilicity determination in drug discovery. , 2000, Journal of medicinal chemistry.

[5]  L. Kalantzi,et al.  Estimation of Intragastric Solubility of Drugs: In What Medium? , 2007, Pharmaceutical Research.

[6]  P. Leeson,et al.  The influence of drug-like concepts on decision-making in medicinal chemistry , 2007, Nature Reviews Drug Discovery.

[7]  Yi Li,et al.  Prediction of aqueous solubility of organic compounds using a quantitative structure-property relationship. , 2002, Journal of pharmaceutical sciences.

[8]  Laszlo Urban,et al.  Maximising use of in vitro ADMET tools to predict in vivo bioavailability and safety , 2007, Expert opinion on drug metabolism & toxicology.

[9]  Ronald T. Borchardt,et al.  Pharmaceutical profiling in drug discovery for lead selection , 2004 .

[10]  Y. Ishihama,et al.  A rapid method for pKa determination of drugs using pressure-assisted capillary electrophoresis with photodiode array detection in drug discovery. , 2002, Journal of pharmaceutical sciences.

[11]  Aalt Bast,et al.  Comprehensive medicinal chemistry , 1991 .

[12]  Ruifeng Liu,et al.  Development of Quantitative Structure-Property Relationship Models for Early ADME Evaluation in Drug Discovery. 1. Aqueous Solubility , 2001, J. Chem. Inf. Comput. Sci..

[13]  A. Bender,et al.  Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure , 2007, ChemMedChem.

[14]  Christel A. S. Bergström,et al.  Accuracy of calculated pH-dependent aqueous drug solubility. , 2004, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[15]  Adriana Carlucci,et al.  Relation between retention factors of immunosuppressive drugs in microemulsion electrokinetic chromatography with biosurfactants and octanol-water partition coefficients. , 2003, Journal of pharmaceutical and biomedical analysis.

[16]  E. Kerns,et al.  High throughput physicochemical profiling for drug discovery. , 2001, Journal of pharmaceutical sciences.

[17]  F. Lombardo,et al.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings , 1997 .

[18]  Sujit Banerjee,et al.  Aqueous solubility : methods of estimation for organic compounds , 1992 .

[19]  S. Gluck,et al.  Automated pKa determination at low solute concentrations by capillary electrophoresis , 1993 .

[20]  John Sharkey,et al.  Acquired QT interval prolongation and HERG: implications for drug discovery and development. , 2004, European journal of pharmacology.

[21]  John Comer,et al.  High-throughput measurement of pKa values in a mixed-buffer linear pH gradient system. , 2003, Analytical chemistry.

[22]  A. Glomme,et al.  Comparison of a miniaturized shake-flask solubility method with automated potentiometric acid/base titrations and calculated solubilities. , 2005, Journal of pharmaceutical sciences.

[23]  Liping Zhou,et al.  Development of a high throughput equilibrium solubility assay using miniaturized shake-flask method in early drug discovery. , 2007, Journal of pharmaceutical sciences.

[24]  R. A. Thompson,et al.  High-throughput screening of pKa values of pharmaceuticals by pressure-assisted capillary electrophoresis and mass spectrometry. , 2003, Rapid communications in mass spectrometry : RCM.

[25]  Franco Lombardo,et al.  Measurement of dissociation constants (pKa values) of organic compounds by multiplexed capillary electrophoresis using aqueous and cosolvent buffers. , 2008, Journal of pharmaceutical sciences.

[26]  R. Kaliszan,et al.  pH gradient high-performance liquid chromatography: theory and applications. , 2004, Journal of chromatography. A.

[27]  K. C. James,et al.  Solubility and Related Properties , 1986 .

[28]  Christos Reppas,et al.  Forecasting the In Vivo Performance of Four Low Solubility Drugs from Their In Vitro Dissolution Data , 1999, Pharmaceutical Research.

[29]  J. Dressman,et al.  Forecasting the Oral Absorption Behavior of Poorly Soluble Weak Bases Using Solubility and Dissolution Studies in Biorelevant Media , 2002, Pharmaceutical Research.

[30]  J. Dressman,et al.  Predicting the precipitation of poorly soluble weak bases upon entry in the small intestine , 2004, The Journal of pharmacy and pharmacology.

[31]  B. Faller,et al.  High-throughput lipophilicity measurement with immobilized artificial membranes. , 2005, Journal of medicinal chemistry.

[32]  Z. Rankovic,et al.  Medicinal chemistry of hERG optimizations: Highlights and hang-ups. , 2006, Journal of medicinal chemistry.

[33]  Ulf Norinder,et al.  Experimental and Computational Screening Models for Prediction of Aqueous Drug Solubility , 2002, Pharmaceutical Research.

[34]  S. Shaikh,et al.  From drug target to leads--sketching a physicochemical pathway for lead molecule design in silico. , 2007, Current pharmaceutical design.

[35]  B. Testa,et al.  Determination of lipophilicity by reversed-phase high-performance liquid chromatography. Influence of 1-octanol in the mobile phase. , 2005, Journal of chromatography. A.

[36]  R. Löbenberg,et al.  Evaluation of Various Dissolution Media for Predicting In Vivo Performance of Class I and II Drugs , 1998, Pharmaceutical Research.

[37]  L. Di,et al.  Physicochemical profiling: overview of the screens. , 2004, Drug discovery today. Technologies.

[38]  Shobha Bhattachar,et al.  The road map to oral bioavailability: an industrial perspective , 2006, Expert opinion on drug metabolism & toxicology.

[39]  Johan Ulander,et al.  High-throughput pKa screening and prediction amenable for ADME profiling , 2006, Expert opinion on drug metabolism & toxicology.

[40]  J J Baldwin,et al.  Prediction of drug absorption using multivariate statistics. , 2000, Journal of medicinal chemistry.

[41]  Anna Tsantili-Kakoulidou,et al.  Alternative measures of lipophilicity: from octanol-water partitioning to IAM retention. , 2008, Journal of pharmaceutical sciences.

[42]  J V Castell,et al.  In vitro ADME medium/high-throughput screening in drug preclinical development. , 2006, Mini reviews in medicinal chemistry.

[43]  J. Cheetham,et al.  An Automated Screening Assay for Determination of Aqueous Equilibrium Solubility Enabling SPR Study During Drug Lead Optimization , 2005 .

[44]  D. E. Clark,et al.  In silico ADMET tools: the dawn of a new generation? , 2007, Expert opinion on drug discovery.

[45]  L. Grumetto,et al.  Comparison between immobilized artificial membrane (IAM) HPLC data and lipophilicity in n-octanol for quinolone antibacterial agents. , 2007, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[46]  Srini Venkatesh,et al.  Miniature Device for Aqueous and Non-aqueous Solubility Measurements During Drug Discovery , 2004, Pharmaceutical Research.

[47]  M. Waring,et al.  A quantitative assessment of hERG liability as a function of lipophilicity. , 2007, Bioorganic & medicinal chemistry letters.

[48]  Alex Avdeef,et al.  Physicochemical Profiling (Solubility, Permeability and Charge State) , 2001 .

[49]  J. Crison,et al.  A Theoretical Basis for a Biopharmaceutic Drug Classification: The Correlation of in Vitro Drug Product Dissolution and in Vivo Bioavailability , 1995, Pharmaceutical Research.

[50]  J. Comer,et al.  High-Throughput Measurement of Drug pKa Values for ADME Screening: , 2003 .

[51]  William Egan,et al.  Chapter 29 Computational Models for ADME , 2007 .

[52]  A. Watt,et al.  An Increased Throughput Method for the Determination of Partition Coefficients , 2000, Pharmaceutical Research.

[53]  D. Bojanic,et al.  High-throughput in vitro profiling assays: lessons learnt from experiences at Novartis , 2006, Expert opinion on drug metabolism & toxicology.

[54]  Sujuan Huang,et al.  Screening of octanol-water partition coefficients for pharmaceuticals by pressure-assisted microemulsion electrokinetic chromatography. , 2003, Journal of chromatography. A.