Literature DB >> 26330260

Pharmacokinetics in Drug Discovery: An Exposure-Centred Approach to Optimising and Predicting Drug Efficacy and Safety.

Andreas Reichel1, Philip Lienau2.   

Abstract

The role of pharmacokinetics (PK) in drug discovery is to support the optimisation of the absorption, distribution, metabolism and excretion (ADME) properties of lead compounds with the ultimate goal to attain a clinical candidate which achieves a concentration-time profile in the body that is adequate for the desired efficacy and safety profile. A thorough characterisation of the lead compounds aiming at the identification of the inherent PK liabilities also includes an early generation of PK/PD relationships linking in vitro potency and target exposure/engagement with expression of pharmacological activity (mode-of-action) and efficacy in animal studies. The chapter describes an exposure-centred approach to lead generation, lead optimisation and candidate selection and profiling that focuses on a stepwise generation of an understanding between PK/exposure and PD/efficacy relationships by capturing target exposure or surrogates thereof and cellular mode-of-action readouts in vivo. Once robust PK/PD relationship in animal PD models has been constructed, it is translated to anticipate the pharmacologically active plasma concentrations in patients and the human therapeutic dose and dosing schedule which is also based on the prediction of the PK behaviour in human as described herein. The chapter outlines how the level of confidence in the predictions increases with the level of understanding of both the PK and the PK/PD of the new chemical entities (NCE) in relation to the disease hypothesis and the ability to propose safe and efficacious doses and dosing schedules in responsive patient populations. A sound identification of potential drug metabolism and pharmacokinetics (DMPK)-related development risks allows proposing of an effective de-risking strategy for the progression of the project that is able to reduce uncertainties and to increase the probability of success during preclinical and clinical development.

Entities:  

Keywords:  ADME; Candidate profiling; Drug discovery; Exposure; Lead generation; Lead optimisation; PK/PD; Pharmacokinetics; Prediction

Mesh:

Year:  2016        PMID: 26330260     DOI: 10.1007/164_2015_26

Source DB:  PubMed          Journal:  Handb Exp Pharmacol        ISSN: 0171-2004


  9 in total

1.  A Microfluidic Perfusion Platform for In Vitro Analysis of Drug Pharmacokinetic-Pharmacodynamic (PK-PD) Relationships.

Authors:  Yadir A Guerrero; Diti Desai; Connor Sullivan; Erick Kindt; Mary E Spilker; Tristan S Maurer; Deepak E Solomon; Derek W Bartlett
Journal:  AAPS J       Date:  2020-03-02       Impact factor: 4.009

Review 2.  Current Approaches for Predicting Human PK for Small Molecule Development Candidates: Findings from the IQ Human PK Prediction Working Group Survey.

Authors:  Carl Petersson; Xin Zhou; Joerg Berghausen; David Cebrian; Michael Davies; Kevin DeMent; Peter Eddershaw; Arian Emami Riedmaier; Alix F Leblanc; Nenad Manveski; Punit Marathe; Panteleimon D Mavroudis; Robin McDougall; Neil Parrott; Andreas Reichel; Charles Rotter; David Tess; Laurie P Volak; Guangqing Xiao; Zheng Yang; James Baker
Journal:  AAPS J       Date:  2022-07-19       Impact factor: 3.603

3.  Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches.

Authors:  Amer H Asseri; Md Jahidul Alam; Faisal Alzahrani; Ahmed Khames; Mohammad Turhan Pathan; Mohammed A S Abourehab; Salman Hosawi; Rubaiat Ahmed; Sifat Ara Sultana; Nazia Fairooz Alam; Nafee-Ul Alam; Rahat Alam; Abdus Samad; Sushil Pokhrel; Jin Kyu Kim; Foysal Ahammad; Bonglee Kim; Shing Cheng Tan
Journal:  Pharmaceuticals (Basel)       Date:  2022-04-20

Review 4.  Liver Microphysiological Systems for Predicting and Evaluating Drug Effects.

Authors:  Alexandre J S Ribeiro; Xinning Yang; Vikram Patel; Rajnikanth Madabushi; David G Strauss
Journal:  Clin Pharmacol Ther       Date:  2019-06-04       Impact factor: 6.875

5.  Ultra-High-Precision, in-vivo Pharmacokinetic Measurements Highlight the Need for and a Route Toward More Highly Personalized Medicine.

Authors:  Philip A Vieira; Christina B Shin; Netzahualcóyotl Arroyo-Currás; Gabriel Ortega; Weiwei Li; Arturo A Keller; Kevin W Plaxco; Tod E Kippin
Journal:  Front Mol Biosci       Date:  2019-08-16

6.  Pyrrolizine/Indolizine-NSAID Hybrids: Design, Synthesis, Biological Evaluation, and Molecular Docking Studies.

Authors:  Mohammed A S Abourehab; Alaa M Alqahtani; Faisal A Almalki; Dana M Zaher; Ashraf N Abdalla; Ahmed M Gouda; Eman A M Beshr
Journal:  Molecules       Date:  2021-10-30       Impact factor: 4.411

Review 7.  Towards the sustainable discovery and development of new antibiotics.

Authors:  Marcus Miethke; Marco Pieroni; Tilmann Weber; Mark Brönstrup; Peter Hammann; Ludovic Halby; Paola B Arimondo; Philippe Glaser; Bertrand Aigle; Helge B Bode; Rui Moreira; Yanyan Li; Andriy Luzhetskyy; Marnix H Medema; Jean-Luc Pernodet; Marc Stadler; José Rubén Tormo; Olga Genilloud; Andrew W Truman; Kira J Weissman; Eriko Takano; Stefano Sabatini; Evi Stegmann; Heike Brötz-Oesterhelt; Wolfgang Wohlleben; Myriam Seemann; Martin Empting; Anna K H Hirsch; Brigitta Loretz; Claus-Michael Lehr; Alexander Titz; Jennifer Herrmann; Timo Jaeger; Silke Alt; Thomas Hesterkamp; Mathias Winterhalter; Andrea Schiefer; Kenneth Pfarr; Achim Hoerauf; Heather Graz; Michael Graz; Mika Lindvall; Savithri Ramurthy; Anders Karlén; Maarten van Dongen; Hrvoje Petkovic; Andreas Keller; Frédéric Peyrane; Stefano Donadio; Laurent Fraisse; Laura J V Piddock; Ian H Gilbert; Heinz E Moser; Rolf Müller
Journal:  Nat Rev Chem       Date:  2021-08-19       Impact factor: 34.571

8.  Discovering Tuberosin and Villosol as Potent and Selective Inhibitors of AKT1 for Therapeutic Targeting of Oral Squamous Cell Carcinoma.

Authors:  Mohd Adnan; Deeba Shamim Jairajpuri; Muskan Chaddha; Mohd Shahnawaz Khan; Dharmendra Kumar Yadav; Taj Mohammad; Abdelbaset Mohamed Elasbali; Waleed Abu Al-Soud; Salem Hussain Alharethi; Md Imtaiyaz Hassan
Journal:  J Pers Med       Date:  2022-06-30

9.  High-throughput high-volume nuclear imaging for preclinical in vivo compound screening§.

Authors:  Sven Macholl; Ciara M Finucane; Jacob Hesterman; Stephen J Mather; Rachel Pauplis; Deirdre Scully; Jane K Sosabowski; Erwan Jouannot
Journal:  EJNMMI Res       Date:  2017-04-07       Impact factor: 3.138

  9 in total

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