Description

Book Synopsis
By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs.

Trade Review

“In conclusion, this volume fulfills its promise of being a very useful tool for guidance and diagnosis on ADMET matters, and I would recommend it to any scientist in the field.” (ChemMedChem, 1 June 2015)



Table of Contents

Preface ix

Contributors xi

I Introduction to the Current Scientific, Clinical, and Social Environment of Drug Discovery and Development

1 Current Social, Clinical, and Scientific Environment of Pharmaceutical R&D 3
Laszlo Urban, Jean-Pierre Valentin, Kenneth I Kaitin, and Jianling Wang

2 Polypharmacology and Adverse Bioactivity Profiles Predict Potential Toxicity and Drug-related ADRs 23
Teresa Kaserer, Veronika Temml, and Daniela Schuster

II Intelligent Integration and Extrapolation of Admet Data

3 ADMET Diagnosis Models 49
Bernard Faller, Suzanne Skolnik, and Jianling Wang

4 PATH (Probe ADME and Test Hypotheses): A Useful Approach Enabling Hypothesis-driven ADME Optimization 63
Leslie Bell, Suzanne Skolnik, and Dallas Bednarczyk

5 PK-MATRIX—A Permeability: Intrinsic Clearance System for Prediction, Classification, and Profiling of Pharmacokinetics and Drug–drug Interactions 89
Urban Fagerholm

6 Maximizing the Power of a Local Model for ADMET-property Prediction 103
Sebastien Ronseaux, Jeremy Beck, and Clayton Springer

7 Chemoinformatic and Chemogenomic Approach to ADMET 125
Virginie Y. Martiny, Ilza Pajeva, Michael Wiese, Andrew M. Davis, and Maria A. Miteva

8 Multiparameter Optimization of ADMET for Drug Design 145
Matthew D. Segall and Edmund J. Champness

9 PBPK: Integrating In Vitro and In Silico Data in Physiologically Based Models 167
Hannah M. Jones and Neil Parrott

10 Emerging Full Mechanistic Physiologically Based Modeling 189
Kiyohiko Sugano

11 Pharmacokinetic/Pharmacodynamic Modeling in Drug Discovery: A Translational Tool to Optimize Discovery Compounds Toward the Ideal Target-specific Profile 211
Patricia Schroeder

III Assessment and Mitigation of Critical Clinically Relevant Admet Risks in Drug Discovery and Development

12 In Vitro–In Silico Tools to Predict Pharmacokinetics of Poorly Soluble Drug Compounds 235
Christian Wagner and Jennifer B. Dressman

13 Evaluation of the Collective Impact of Passive Permeability and Active Transport on In Vivo Blood-brain Barrier and Gastrointestinal Drug Absorption 263
Donna A. Volpe, Hong Shen, and Praveen V. Balimane

14 Integrated Assessment of Drug Clearance and Cross-Species Scalability 291
Kevin Beaumont, James R. Gosset, and Chris E. Keefer

15 Practical Anticipation of Human Efficacious Doses and Pharmacokinetics using Preclinical In Vitro and In Vivo Data 319
Tycho Heimbach, Rakesh Gollen, and Handan He

16 Management and Mitigation of Human Drug–drug Interaction Risks in the Drug Discovery and Development Phases 353
Heidi J. Einolf and Imad Hanna

17 Integrated Assessment and Clinical Translation of In Vitro Off-target Safety Pharmacology Risks 397
Patrick Y. Muller and Christian F. Trendelenburg

18 Integrated Risk Assessment of Cardiovascular Safety in Drug Discovery 407
Gül Erdemli and Ruth L. Martin

19 Drug-induced Hepatotoxicity: Advances in Preclinical Predictive Strategies and Tools 433
Donna M. Dambach

20 Carcinogenicity and Teratogenicity Assessment 467
Hans-Jörg Martus, David Beckman, and Lutz Mueller

21 Nephrotoxicity: Development of Biomarkers for Preclinical and Clinical Application 491
Frank Dieterle and Estelle Marrer

IV Success Stories and Lessons Learned

22 Early Intervention with Formulation Strategies for Multidimensional Problems to Optimize for Success 507
Stephanie Dodd, Christina Capacci-Daniel, Christopher Towler, Riccardo Panicucci, and Keith Hoffmaster

23 Cytochrome P450-mediated Drug Interaction and Cardiovascular Safety: The Seldane to Allegra Transformation 523
F. Peter Guengerich

24 Clinical Toxicity Profile of VEGF Inhibitors 535
Mark P. S. Sie and Ferry A. L. M. Eskens

25 Cardiomyopathy: Drug Induced and Predisposed 555
Shirley A. Aguirre and Eileen R. Blasi

26 Safety Management by Pharmacokinetic Considerations: Ranibizumab (Lucentis) and Bevacizumab (Avastin) 569
Nicole H. Siegel and Manju L. Subramanian

Index 583

Predictive ADMET Integrated Approaches in Drug

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    A Hardback by Jianling Wang, Laszlo Urban

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      View other formats and editions of Predictive ADMET Integrated Approaches in Drug by Jianling Wang

      Publisher: John Wiley & Sons Inc
      Publication Date: 30/05/2014
      ISBN13: 9781118299920, 978-1118299920
      ISBN10: 1118299922

      Description

      Book Synopsis
      By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs.

      Trade Review

      “In conclusion, this volume fulfills its promise of being a very useful tool for guidance and diagnosis on ADMET matters, and I would recommend it to any scientist in the field.” (ChemMedChem, 1 June 2015)



      Table of Contents

      Preface ix

      Contributors xi

      I Introduction to the Current Scientific, Clinical, and Social Environment of Drug Discovery and Development

      1 Current Social, Clinical, and Scientific Environment of Pharmaceutical R&D 3
      Laszlo Urban, Jean-Pierre Valentin, Kenneth I Kaitin, and Jianling Wang

      2 Polypharmacology and Adverse Bioactivity Profiles Predict Potential Toxicity and Drug-related ADRs 23
      Teresa Kaserer, Veronika Temml, and Daniela Schuster

      II Intelligent Integration and Extrapolation of Admet Data

      3 ADMET Diagnosis Models 49
      Bernard Faller, Suzanne Skolnik, and Jianling Wang

      4 PATH (Probe ADME and Test Hypotheses): A Useful Approach Enabling Hypothesis-driven ADME Optimization 63
      Leslie Bell, Suzanne Skolnik, and Dallas Bednarczyk

      5 PK-MATRIX—A Permeability: Intrinsic Clearance System for Prediction, Classification, and Profiling of Pharmacokinetics and Drug–drug Interactions 89
      Urban Fagerholm

      6 Maximizing the Power of a Local Model for ADMET-property Prediction 103
      Sebastien Ronseaux, Jeremy Beck, and Clayton Springer

      7 Chemoinformatic and Chemogenomic Approach to ADMET 125
      Virginie Y. Martiny, Ilza Pajeva, Michael Wiese, Andrew M. Davis, and Maria A. Miteva

      8 Multiparameter Optimization of ADMET for Drug Design 145
      Matthew D. Segall and Edmund J. Champness

      9 PBPK: Integrating In Vitro and In Silico Data in Physiologically Based Models 167
      Hannah M. Jones and Neil Parrott

      10 Emerging Full Mechanistic Physiologically Based Modeling 189
      Kiyohiko Sugano

      11 Pharmacokinetic/Pharmacodynamic Modeling in Drug Discovery: A Translational Tool to Optimize Discovery Compounds Toward the Ideal Target-specific Profile 211
      Patricia Schroeder

      III Assessment and Mitigation of Critical Clinically Relevant Admet Risks in Drug Discovery and Development

      12 In Vitro–In Silico Tools to Predict Pharmacokinetics of Poorly Soluble Drug Compounds 235
      Christian Wagner and Jennifer B. Dressman

      13 Evaluation of the Collective Impact of Passive Permeability and Active Transport on In Vivo Blood-brain Barrier and Gastrointestinal Drug Absorption 263
      Donna A. Volpe, Hong Shen, and Praveen V. Balimane

      14 Integrated Assessment of Drug Clearance and Cross-Species Scalability 291
      Kevin Beaumont, James R. Gosset, and Chris E. Keefer

      15 Practical Anticipation of Human Efficacious Doses and Pharmacokinetics using Preclinical In Vitro and In Vivo Data 319
      Tycho Heimbach, Rakesh Gollen, and Handan He

      16 Management and Mitigation of Human Drug–drug Interaction Risks in the Drug Discovery and Development Phases 353
      Heidi J. Einolf and Imad Hanna

      17 Integrated Assessment and Clinical Translation of In Vitro Off-target Safety Pharmacology Risks 397
      Patrick Y. Muller and Christian F. Trendelenburg

      18 Integrated Risk Assessment of Cardiovascular Safety in Drug Discovery 407
      Gül Erdemli and Ruth L. Martin

      19 Drug-induced Hepatotoxicity: Advances in Preclinical Predictive Strategies and Tools 433
      Donna M. Dambach

      20 Carcinogenicity and Teratogenicity Assessment 467
      Hans-Jörg Martus, David Beckman, and Lutz Mueller

      21 Nephrotoxicity: Development of Biomarkers for Preclinical and Clinical Application 491
      Frank Dieterle and Estelle Marrer

      IV Success Stories and Lessons Learned

      22 Early Intervention with Formulation Strategies for Multidimensional Problems to Optimize for Success 507
      Stephanie Dodd, Christina Capacci-Daniel, Christopher Towler, Riccardo Panicucci, and Keith Hoffmaster

      23 Cytochrome P450-mediated Drug Interaction and Cardiovascular Safety: The Seldane to Allegra Transformation 523
      F. Peter Guengerich

      24 Clinical Toxicity Profile of VEGF Inhibitors 535
      Mark P. S. Sie and Ferry A. L. M. Eskens

      25 Cardiomyopathy: Drug Induced and Predisposed 555
      Shirley A. Aguirre and Eileen R. Blasi

      26 Safety Management by Pharmacokinetic Considerations: Ranibizumab (Lucentis) and Bevacizumab (Avastin) 569
      Nicole H. Siegel and Manju L. Subramanian

      Index 583

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