1
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Haid RTU, Reichel A. Transforming the Discovery of Targeted Protein Degraders: The Translational Power of Predictive PK/PD Modeling. Clin Pharmacol Ther 2024. [PMID: 38708948 DOI: 10.1002/cpt.3273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/21/2024] [Indexed: 05/07/2024]
Abstract
Targeted protein degraders (TPDs), an emerging therapeutic modality, are attracting considerable interest with the promise to address disease-related proteins that are not druggable with conventional small molecule inhibitors. Despite their novel mechanism of action, the PK/PD relationship of degraders is still approached with a mindset deeply rooted in inhibitor drugs. Here, we establish how predictive mechanistic modeling specifically tailored to TPDs can significantly enhance the value of the available information during lead generation and optimization. By integrating the results from in vitro assays with routinely collected PK data, modeling accurately predicts degradation in vivo. These predictions transform the prioritization of compounds for in vivo studies as well as the selection of optimal dose schedules and most informative measurement time points with the least number of animals. Moreover, the comprehensive modeling framework (1) identifies the PK/PD driver of targeted protein degradation and subsequent downstream pharmacodynamic effects, and (2) uncovers the fundamental difference between degrader and inhibitor PK/PD relationships. The practical utility of our predictive modeling is demonstrated with relevant use cases. This framework will allow researchers to transition from current, mostly serendipity-based approaches to more sound model-informed decision making. Going forward, the presented predictive PK/PD modeling framework lays out a rational path to incorporate inter-species differences in the pharmacology and thus promises to help with getting the dose right in clinical trials.
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Affiliation(s)
- Robin Thomas Ulrich Haid
- Preclinical Modeling & Simulation, Drug Metabolism & Pharmacokinetics, Preclinical Development, Bayer AG, Berlin, Germany
- Biopharmacy, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Andreas Reichel
- Preclinical Modeling & Simulation, Drug Metabolism & Pharmacokinetics, Preclinical Development, Bayer AG, Berlin, Germany
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2
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Bouvier C, Lawrence R, Cavallo F, Xolalpa W, Jordan A, Hjerpe R, Rodriguez MS. Breaking Bad Proteins-Discovery Approaches and the Road to Clinic for Degraders. Cells 2024; 13:578. [PMID: 38607017 PMCID: PMC11011670 DOI: 10.3390/cells13070578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/12/2024] [Accepted: 03/18/2024] [Indexed: 04/13/2024] Open
Abstract
Proteolysis-targeting chimeras (PROTACs) describe compounds that bind to and induce degradation of a target by simultaneously binding to a ubiquitin ligase. More generally referred to as bifunctional degraders, PROTACs have led the way in the field of targeted protein degradation (TPD), with several compounds currently undergoing clinical testing. Alongside bifunctional degraders, single-moiety compounds, or molecular glue degraders (MGDs), are increasingly being considered as a viable approach for development of therapeutics, driven by advances in rational discovery approaches. This review focuses on drug discovery with respect to bifunctional and molecular glue degraders within the ubiquitin proteasome system, including analysis of mechanistic concepts and discovery approaches, with an overview of current clinical and pre-clinical degrader status in oncology, neurodegenerative and inflammatory disease.
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Affiliation(s)
- Corentin Bouvier
- Laboratoire de Chimie de Coordination LCC-UPR 8241-CNRS, 31077 Toulouse, France; (C.B.); (M.S.R.)
| | - Rachel Lawrence
- Sygnature Discovery, Bio City, Pennyfoot St., Nottingham NG1 1GR, UK (F.C.); (A.J.)
| | - Francesca Cavallo
- Sygnature Discovery, Bio City, Pennyfoot St., Nottingham NG1 1GR, UK (F.C.); (A.J.)
| | - Wendy Xolalpa
- Departamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62209, Morelos, Mexico;
| | - Allan Jordan
- Sygnature Discovery, Bio City, Pennyfoot St., Nottingham NG1 1GR, UK (F.C.); (A.J.)
| | - Roland Hjerpe
- Sygnature Discovery, Bio City, Pennyfoot St., Nottingham NG1 1GR, UK (F.C.); (A.J.)
| | - Manuel S. Rodriguez
- Laboratoire de Chimie de Coordination LCC-UPR 8241-CNRS, 31077 Toulouse, France; (C.B.); (M.S.R.)
- Pharmadev, UMR 152, Université de Toulouse, IRD, UT3, 31400 Toulouse, France
- B Molecular, Centre Pierre Potier, Canceropôle, 31106 Toulouse, France
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3
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Jordan S, Ryu S, Burchett W, Davis C, Jones R, Zhang S, Zueva L, Chang G, Di L. Comparison of Tumor Binding Across Tumor Types and Cell Lines to Support Free Drug Considerations for Oncology Drug Discovery. J Pharm Sci 2024; 113:826-835. [PMID: 38042346 DOI: 10.1016/j.xphs.2023.11.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/24/2023] [Accepted: 11/24/2023] [Indexed: 12/04/2023]
Abstract
Tumor binding is an important parameter to derive unbound tumor concentration to explore pharmacokinetics (PK) and pharmacodynamics (PD) relationships for oncology disease targets. Tumor binding was evaluated using eleven matrices, including various commonly used ex vivo human and mouse xenograft and syngeneic tumors, tumor cell lines and liver as a surrogate tissue. The results showed that tumor binding is highly correlated among the different tumors and tumor cell lines except for the mouse melanoma (B16F10) tumor type. Liver fraction unbound (fu) has a good correlation with B16F10 tumor binding. Liver also demonstrates a two-fold equivalency, on average, with binding of other tumor types when a scaling factor is applied. Predictive models were developed for tumor binding, with correlations established with LogD (acids), predicted muscle fu (neutrals) and measured plasma protein binding (bases) to estimate tumor fu when experimental data are not available. Many approaches can be applied to obtain and estimate tumor binding values. One strategy proposed is to use a surrogate tumor tissue, such as mouse xenograft ovarian cancer (OVCAR3) tumor, as a surrogate for tumor binding (except for B16F10) to provide an early assessment of unbound tumor concentrations for development of PK/PD relationships.
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Affiliation(s)
- Samantha Jordan
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Sangwoo Ryu
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Woodrow Burchett
- Global Biometrics and Data Management, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Carl Davis
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, La Jolla, CA, United States
| | - Rhys Jones
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, La Jolla, CA, United States
| | - Sam Zhang
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Larisa Zueva
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - George Chang
- Translational Modeling and Simulation, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Li Di
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States.
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4
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Rossetti P, Apprato G, Caron G, Ermondi G, Rossi Sebastiano M. DegraderTCM: A Computationally Sparing Approach for Predicting Ternary Degradation Complexes. ACS Med Chem Lett 2024; 15:45-53. [PMID: 38229751 PMCID: PMC10788944 DOI: 10.1021/acsmedchemlett.3c00362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 01/18/2024] Open
Abstract
Proteolysis targeting chimeras (PROTACs or degraders) represent a novel therapeutic modality that has raised interest thanks to promising results and currently undergoing clinical testing. PROTACs induce the selective proteasomal degradation of undesired proteins by the formation of ternary complexes (TCs). Having knowledge of the 3D structure of TCs is crucial for the design of PROTAC drugs. Here, we describe DegraderTCM, a new computational method for modeling PROTAC-mediated TCs that requires low computational power and provides sound results in a short time span. We validated DegraderTCM against a selected set of experimentally determined structures and defined a method to predict the PROTAC degradation activity based on the computed TC structure. Finally, we modeled TCs of known degraders holding significance for defining the method's applicability domain. A retrospective analysis of structure-activity relationships unveiled possibilities for utilizing DegraderTCM in the initial stages of designing novel PROTAC drugs.
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Affiliation(s)
- Paolo Rossetti
- University of Torino, Department of Molecular Biotechnology and Health Sciences,
CASSMedChem, Piazza Nizza
44, 10126 Torino, Italy
| | - Giulia Apprato
- University of Torino, Department of Molecular Biotechnology and Health Sciences,
CASSMedChem, Piazza Nizza
44, 10126 Torino, Italy
| | - Giulia Caron
- University of Torino, Department of Molecular Biotechnology and Health Sciences,
CASSMedChem, Piazza Nizza
44, 10126 Torino, Italy
| | - Giuseppe Ermondi
- University of Torino, Department of Molecular Biotechnology and Health Sciences,
CASSMedChem, Piazza Nizza
44, 10126 Torino, Italy
| | - Matteo Rossi Sebastiano
- University of Torino, Department of Molecular Biotechnology and Health Sciences,
CASSMedChem, Piazza Nizza
44, 10126 Torino, Italy
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5
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Ciulli A, O'Connor S, Chung CW, Hartung IV, Testa A, Daniels DL, Heitman LH. The 17 th EFMC Short Course on Medicinal Chemistry on Small Molecule Protein Degraders. ChemMedChem 2023; 18:e202300464. [PMID: 37817354 DOI: 10.1002/cmdc.202300464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/10/2023] [Indexed: 10/12/2023]
Abstract
The 17th EFMC Short Course on Medicinal Chemistry took place April 23-26, 2023 in Oegstgeest, near Leiden in the Netherlands. It covered for the first time the exciting topic of Targeted Protein Degradation (full title: Small Molecule Protein Degraders: A New Opportunity for Drug Design and Development). The course was oversubscribed, with 35 attendees and 6 instructors mainly from Europe but also from the US and South Africa, and representing both industry and academia. This report summarizes the successful event, key lectures given and topics discussed.
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Affiliation(s)
- Alessio Ciulli
- Centre for Targeted Protein Degradation, School of Life Sciences, University of Dundee, 1 James Lindsay Place, Dundee, DD1 5JJ Scotland, UK
| | - Suzanne O'Connor
- Centre for Targeted Protein Degradation, School of Life Sciences, University of Dundee, 1 James Lindsay Place, Dundee, DD1 5JJ Scotland, UK
| | | | - Ingo V Hartung
- Merck Healthcare KGaA, Frankfurter Straße 250, 64293, Darmstadt, Germany
| | - Andrea Testa
- Amphista Therapeutics Ltd., Cori Building, Granta Park, Great Abington, Cambridge, CB21 6GQ, UK
| | - Danette L Daniels
- Foghorn Therapeutics, 500 Technology Square, Cambridge, MA 02139, USA
| | - Laura H Heitman
- Oncode Institute & Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), P. O. Box 9502, 2300RA, Leiden, The Netherlands
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6
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Guzzetti S, Morentin Gutierrez P. An integrated modelling approach for targeted degradation: insights on optimization, data requirements and PKPD predictions from semi- or fully-mechanistic models and exact steady state solutions. J Pharmacokinet Pharmacodyn 2023; 50:327-349. [PMID: 37120680 PMCID: PMC10460745 DOI: 10.1007/s10928-023-09857-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 03/28/2023] [Indexed: 05/01/2023]
Abstract
The value of an integrated mathematical modelling approach for protein degraders which combines the benefits of traditional turnover models and fully mechanistic models is presented. Firstly, we show how exact solutions of the mechanistic models of monovalent and bivalent degraders can provide insight on the role of each system parameter in driving the pharmacological response. We show how on/off binding rates and degradation rates are related to potency and maximal effect of monovalent degraders, and how such relationship can be used to suggest a compound optimization strategy. Even convoluted exact steady state solutions for bivalent degraders provide insight on the type of observations required to ensure the predictive capacity of a mechanistic approach. Specifically for PROTACs, the structure of the exact steady state solution suggests that the total remaining target at steady state, which is easily accessible experimentally, is insufficient to reconstruct the state of the whole system at equilibrium and observations on different species (such as binary/ternary complexes) are necessary. Secondly, global sensitivity analysis of fully mechanistic models for PROTACs suggests that both target and ligase baselines (actually, their ratio) are the major sources of variability in the response of non-cooperative systems, which speaks to the importance of characterizing their distribution in the target patient population. Finally, we propose a pragmatic modelling approach which incorporates the insights generated with fully mechanistic models into simpler turnover models to improve their predictive ability, hence enabling acceleration of drug discovery programs and increased probability of success in the clinic.
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Affiliation(s)
- Sofia Guzzetti
- DMPK, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK
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7
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Kong NR, Jones LH. Clinical Translation of Targeted Protein Degraders. Clin Pharmacol Ther 2023; 114:558-568. [PMID: 37399310 DOI: 10.1002/cpt.2985] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/19/2023] [Indexed: 07/05/2023]
Abstract
Targeted protein degradation (TPD) has emerged as a potentially transformational therapeutic modality with considerable promise. Molecular glue degraders remodel the surface of E3 ligases inducing interactions with neosubstrates resulting in their polyubiquitination and proteasomal degradation. Molecular glues are clinically precedented and have demonstrated the ability to degrade proteins-of-interest (POIs) previously deemed undruggable due to the absence of a traditional small molecule binding pocket. Heterobifunctional proteolysis targeting chimeras (PROTACs) possess ligands for an E3 complex and the POIs, which are chemically linked together, and similarly hijack the ubiquitin machinery to deplete the target. There has been a recent surge in the number of degraders entering clinical trials, particularly directed toward cancer. Nearly all utilize CRL4CRBN as the E3 ligase, and a relatively limited diversity of POIs are currently targeted. In this review, we provide an overview of the degraders in clinical trials and provide a perspective on the lessons learned from their development and emerging human data that will be broadly useful to those working in the TPD field.
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Affiliation(s)
- Nikki R Kong
- Center for Protein Degradation, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
| | - Lyn H Jones
- Center for Protein Degradation, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
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8
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Teng M, Gray NS. The rise of degrader drugs. Cell Chem Biol 2023; 30:864-878. [PMID: 37494935 DOI: 10.1016/j.chembiol.2023.06.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/30/2023] [Accepted: 06/21/2023] [Indexed: 07/28/2023]
Abstract
The cancer genomics revolution has served up a plethora of promising and challenging targets for the drug discovery community. The field of targeted protein degradation (TPD) uses small molecules to reprogram the protein homeostasis system to destroy desired target proteins. In the last decade, remarkable progress has enabled the rational development of degraders for a large number of target proteins, with over 20 molecules targeting more than 12 proteins entering clinical development. While TPD has been fully credentialed by the prior development of immunomodulatory drug (IMiD) class for the treatment of multiple myeloma, the field is poised for a "Gleevec moment" in which robust clinical efficacy of a rationally developed novel degrader against a preselected target is firmly established. Here, we endeavor to provide a high-level evaluation of exciting developments in the field and comment on steps that may realize the full potential of this new therapeutic modality.
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Affiliation(s)
- Mingxing Teng
- Center for Drug Discovery, Department of Pathology & Immunology, and Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Nathanael S Gray
- Department of Chemical and Systems Biology, ChEM-H, Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA 94305, USA.
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9
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Liu X, Ciulli A. Proximity-Based Modalities for Biology and Medicine. ACS CENTRAL SCIENCE 2023; 9:1269-1284. [PMID: 37521793 PMCID: PMC10375889 DOI: 10.1021/acscentsci.3c00395] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Indexed: 08/01/2023]
Abstract
Molecular proximity orchestrates biological function, and blocking existing proximities is an established therapeutic strategy. By contrast, strengthening or creating neoproximity with chemistry enables modulation of biological processes with high selectivity and has the potential to substantially expand the target space. A plethora of proximity-based modalities to target proteins via diverse approaches have recently emerged, opening opportunities for biopharmaceutical innovation. This Outlook outlines the diverse mechanisms and molecules based on induced proximity, including protein degraders, blockers, and stabilizers, inducers of protein post-translational modifications, and agents for cell therapy, and discusses opportunities and challenges that the field must address to mature and unlock translation in biology and medicine.
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10
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Fang Y, Wang S, Han S, Zhao Y, Yu C, Liu H, Li N. Targeted protein degrader development for cancer: advances, challenges, and opportunities. Trends Pharmacol Sci 2023; 44:303-317. [PMID: 37059054 DOI: 10.1016/j.tips.2023.03.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 04/16/2023]
Abstract
Anticancer-targeted therapies inhibit various kinases implicated in cancer and have been used in clinical settings for decades. However, many cancer-related targets are proteins without catalytic activity and are difficult to target using traditional occupancy-driven inhibitors. Targeted protein degradation (TPD) is an emerging therapeutic modality that has expanded the druggable proteome for cancer treatment. With the entry of new-generation immunomodulatory drugs (IMiDs), selective estrogen receptor degraders (SERDs), and proteolysis-targeting chimera (PROTAC) drugs into clinical trials, the field of TPD has seen explosive growth in the past 10 years. Several challenges remain that need to be tackled to increase successful clinical translation of TPD drugs. We present an overview of the global landscape of clinical trials of TPD drugs over the past decade and summarize the clinical profiles of new-generation TPD drugs. In addition, we highlight the challenges and opportunities for the development of effective TPD drugs for future successful clinical translation.
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Affiliation(s)
- Yuan Fang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shuhang Wang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Songzhe Han
- Department of Chemistry, BeiGene (Beijing) Co. Ltd, Beijing 100020, China
| | - Yizhou Zhao
- Department of Chemistry, BeiGene (Beijing) Co. Ltd, Beijing 100020, China
| | - Cunjing Yu
- Translational Discovery, Research, and Medicine, BeiGene (Beijing) Co. Ltd, Beijing 100020, China
| | - Huaqing Liu
- Department of Chemistry, BeiGene (Beijing) Co. Ltd, Beijing 100020, China
| | - Ning Li
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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11
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Chirnomas D, Hornberger KR, Crews CM. Protein degraders enter the clinic - a new approach to cancer therapy. Nat Rev Clin Oncol 2023; 20:265-278. [PMID: 36781982 DOI: 10.1038/s41571-023-00736-3] [Citation(s) in RCA: 105] [Impact Index Per Article: 105.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2023] [Indexed: 02/15/2023]
Abstract
Heterobifunctional protein degraders, such as PROteolysis TArgeting Chimera (PROTAC) protein degraders, constitute a novel therapeutic modality that harnesses the cell's natural protein-degradation machinery - that is, the ubiquitin-proteasome system - to selectively target proteins involved in disease pathogenesis for elimination. Protein degraders have several potential advantages over small-molecule inhibitors that have traditionally been used for cancer treatment, including their event-driven (rather than occupancy-driven) pharmacology, which permits sub-stoichiometric drug concentrations for activity, their capacity to act iteratively and target multiple copies of a protein of interest, and their potential to target nonenzymatic proteins that were previously considered 'undruggable'. Following numerous innovations in protein degrader design and rigorous evaluation in preclinical models, protein degraders entered clinical testing in 2019. Currently, 18 protein degraders are in phase I or phase I/II clinical trials that involve patients with various tumour types, with a phase III trial of one initiated in 2022. The first safety, efficacy and pharmacokinetic data from these studies are now materializing and, although considerably more evidence is needed, protein degraders are showing promising activity as cancer therapies. Herein, we review advances in protein degrader development, the preclinical research that supported their entry into clinical studies, the available data for protein degraders in patients and future directions for this new class of drugs.
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Affiliation(s)
| | | | - Craig M Crews
- Department of Molecular, Cellular & Developmental Biology, Yale University, New Haven, CT, USA.
- Department of Pharmacology, Yale University, New Haven, CT, USA.
- Department of Chemistry, Yale University, New Haven, CT, USA.
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12
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O'Brien Laramy MN, Luthra S, Brown MF, Bartlett DW. Delivering on the promise of protein degraders. Nat Rev Drug Discov 2023; 22:410-427. [PMID: 36810917 DOI: 10.1038/s41573-023-00652-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2023] [Indexed: 02/23/2023]
Abstract
Over the past 3 years, the first bivalent protein degraders intentionally designed for targeted protein degradation (TPD) have advanced to clinical trials, with an initial focus on established targets. Most of these clinical candidates are designed for oral administration, and many discovery efforts appear to be similarly focused. As we look towards the future, we propose that an oral-centric discovery paradigm will overly constrain the chemical designs that are considered and limit the potential to drug novel targets. In this Perspective, we summarize the current state of the bivalent degrader modality and propose three categories of degrader designs, based on their likely route of administration and requirement for drug delivery technologies. We then describe a vision for how parenteral drug delivery, implemented early in research and supported by pharmacokinetic-pharmacodynamic modelling, can enable exploration of a broader drug design space, expand the scope of accessible targets and deliver on the promise of protein degraders as a therapeutic modality.
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Affiliation(s)
| | - Suman Luthra
- Discovery Pharmaceutical Sciences, Merck & Co., Inc., Boston, MA, USA
| | - Matthew F Brown
- Discovery Sciences, Worldwide Research, Development, and Medical, Pfizer Inc., Groton, CT, USA
| | - Derek W Bartlett
- Pharmacokinetics, Dynamics, & Metabolism, Worldwide Research, Development, and Medical, Pfizer Inc., San Diego, CA, USA
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13
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Duran-Frigola M, Cigler M, Winter GE. Advancing Targeted Protein Degradation via Multiomics Profiling and Artificial Intelligence. J Am Chem Soc 2023; 145:2711-2732. [PMID: 36706315 PMCID: PMC9912273 DOI: 10.1021/jacs.2c11098] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Only around 20% of the human proteome is considered to be druggable with small-molecule antagonists. This leaves some of the most compelling therapeutic targets outside the reach of ligand discovery. The concept of targeted protein degradation (TPD) promises to overcome some of these limitations. In brief, TPD is dependent on small molecules that induce the proximity between a protein of interest (POI) and an E3 ubiquitin ligase, causing ubiquitination and degradation of the POI. In this perspective, we want to reflect on current challenges in the field, and discuss how advances in multiomics profiling, artificial intelligence, and machine learning (AI/ML) will be vital in overcoming them. The presented roadmap is discussed in the context of small-molecule degraders but is equally applicable for other emerging proximity-inducing modalities.
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Affiliation(s)
- Miquel Duran-Frigola
- CeMM
Research Center for Molecular Medicine of the Austrian Academy of
Sciences, 1090 Vienna, Austria,Ersilia
Open Source Initiative, 28 Belgrave Road, CB1 3DE, Cambridge, United Kingdom,
| | - Marko Cigler
- CeMM
Research Center for Molecular Medicine of the Austrian Academy of
Sciences, 1090 Vienna, Austria
| | - Georg E. Winter
- CeMM
Research Center for Molecular Medicine of the Austrian Academy of
Sciences, 1090 Vienna, Austria,
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14
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Haid RTU, Reichel A. A Mechanistic Pharmacodynamic Modeling Framework for the Assessment and Optimization of Proteolysis Targeting Chimeras (PROTACs). Pharmaceutics 2023; 15:pharmaceutics15010195. [PMID: 36678824 PMCID: PMC9865105 DOI: 10.3390/pharmaceutics15010195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/19/2022] [Accepted: 12/27/2022] [Indexed: 01/09/2023] Open
Abstract
The field of targeted protein degradation is growing exponentially. Yet, there is an unmet need for pharmacokinetic/pharmacodynamic models that provide mechanistic insights, while also being practically useful in a drug discovery setting. Therefore, we have developed a comprehensive modeling framework which can be applied to experimental data from routine projects to: (1) assess PROTACs based on accurate degradation metrics, (2) guide compound optimization of the most critical parameters, and (3) link degradation to downstream pharmacodynamic effects. The presented framework contains a number of first-time features: (1) a mechanistic model to fit the hook effect in the PROTAC concentration-degradation profile, (2) quantification of the role of target occupancy in the PROTAC mechanism of action and (3) deconvolution of the effects of target degradation and target inhibition by PROTACs on the overall pharmacodynamic response. To illustrate applicability and to build confidence, we have employed these three models to analyze exemplary data on various compounds from different projects and targets. The presented framework allows researchers to tailor their experimental work and to arrive at a better understanding of their results, ultimately leading to more successful PROTAC discovery. While the focus here lies on in vitro pharmacology experiments, key implications for in vivo studies are also discussed.
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Affiliation(s)
- Robin Thomas Ulrich Haid
- DMPK Modeling and Simulation, Drug Metabolism and Pharmacokinetics, Preclinical Development, Bayer AG, Müllerstraße 178, 13353 Berlin, Germany
- Biopharmacy, Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 4, 8093 Zurich, Switzerland
| | - Andreas Reichel
- DMPK Modeling and Simulation, Drug Metabolism and Pharmacokinetics, Preclinical Development, Bayer AG, Müllerstraße 178, 13353 Berlin, Germany
- Correspondence:
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15
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Pu C, Wang S, Liu L, Feng Z, Zhang H, Gong Q, Sun Y, Guo Y, Li R. Current strategies for improving limitations of proteolysis targeting chimeras. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.107927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Zang R, Barth A, Wong H, Marik J, Shen J, Lade J, Grove K, Durk MR, Parrott N, Rudewicz PJ, Zhao S, Wang T, Yan Z, Zhang D. Design and Measurement of Drug Tissue Concentration Asymmetry and Tissue Exposure-Effect (Tissue PK-PD) Evaluation. J Med Chem 2022; 65:8713-8734. [PMID: 35790118 DOI: 10.1021/acs.jmedchem.2c00502] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The "free drug hypothesis" assumes that, in the absence of transporters, the steady state free plasma concentrations equal to that at the site of action that elicit pharmacologic effects. While it is important to utilize the free drug hypothesis, exceptions exist that the free plasma exposures, either at Cmax, Ctrough, and Caverage, or at other time points, cannot represent the corresponding free tissue concentrations. This "drug concentration asymmetry" in both total and free form can influence drug disposition and pharmacological effects. In this review, we first discuss options to assess total and free drug concentrations in tissues. Then various drug design strategies to achieve concentration asymmetry are presented. Last, the utilities of tissue concentrations in understanding exposure-effect relationships and translational projections to humans are discussed for several therapeutic areas and modalities. A thorough understanding in plasma and tissue exposures correlation with pharmacologic effects can provide insightful guidance to aid drug discovery.
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Affiliation(s)
- Richard Zang
- IDEAYA Biosciences, South San Francisco, California 94080, United States
| | - Aline Barth
- Global Blood Therapeutics, South San Francisco, California 94080, United States
| | - Harvey Wong
- The University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Jan Marik
- Genentech, South San Francisco, California 98080, United States
| | - Jie Shen
- AbbVie, Irvine, California 92612, United States
| | - Julie Lade
- Amgen Inc., South San Francisco, California 94080, United States
| | - Kerri Grove
- Novartis, Emeryville, California 94608, United States
| | - Matthew R Durk
- Genentech, South San Francisco, California 98080, United States
| | - Neil Parrott
- Roche Innovation Centre, Basel CH-4070, Switzerland
| | | | | | - Tao Wang
- Coherus BioSciences, Redwood City, California 94605, United States
| | - Zhengyin Yan
- Genentech, South San Francisco, California 98080, United States
| | - Donglu Zhang
- Genentech, South San Francisco, California 98080, United States
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