Evidence map›Paper›PMID 41896448›Full record

ArticleThe AAPS journal2026

PBPK Modelling of PROTACs: Learnings from ARV-110 as a Case Example.

Farzaneh Salem, Ali Tabatabaeian Nimavardi, Abhishek Srivastava, Katharina Krollik, Andreas Reichel, David Cebrian, Kunal S Taskar, James W T Yates, Caroline Rynn, Heide Marika Duevel

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Article in The AAPS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Farzaneh SalemDMPK Modelling, DMPK, GSK, Stevenage, UK.ORCID 0000-0003-1791-9390
Ali Tabatabaeian NimavardiCertara UK Limited, Simcyp Division, 1 Concourse Way, Level 2 Acero, Sheffield, UK.
Abhishek SrivastavaOncology DMPK, Oncology R&D, AstraZeneca, Cambridge, CB2 0AA, UK.ORCID 0009-0003-4837-7341
Katharina KrollikGlobal Drug Product Development, the healthcare business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0003-4097-4275
Andreas ReichelPreclinical Modeling & Simulation, Pharma R&D, Bayer AG, Berlin, Germany.ORCID 0000-0003-4483-216X
David CebrianIntegrated Drug Discovery, Selvita SA, Podole 79, 30-394, Kraków, Poland.ORCID 0009-0006-5793-4172
Kunal S TaskarDMPK Modelling, DMPK, GSK, Stevenage, UK.ORCID 0000-0001-9979-8267
James W T YatesDMPK Modelling, DMPK, GSK, Stevenage, UK.ORCID 0000-0003-0433-5900
Caroline RynnTranslational PKPD and Clinical Pharmacology, Roche Products Ltd, Hexagon Place, 6 Falcon Way, Welwyn Garden City, UK.ORCID 0000-0002-7616-3872
Heide Marika DuevelNCE DMPK, the healthcare business of Merck KGaA, Darmstadt, Germany. heide.duevel@merckgroup.com.ORCID 0000-0002-7687-8683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study presents a comprehensive evaluation of physiologically-based pharmacokinetic (PBPK) modeling for Proteolysis Targeting Chimeras (PROTACs), using ARV-110 (Bavdegalutamide) as a case example. We sought to develop a PBPK model that accurately predicts the human pharmacokinetics (PK) of ARV-110 and began with a bottom-up approach to predict ARV-110 PK in mice and rats using available ADME and physicochemical data. Owing to the observed in vitro-in vivo extrapolation (IVIVE) gaps in clearance, the published in vivo data was used for refinement, resulting in a middle-out PBPK model bridging this discrepancy. PBPK predictions were extrapolated to human and validated against observed clinical PK for single and multiple doses in healthy volunteers and cancer patients revealing IVIVE gaps for human clearance. Similar to rodents, a middle-out modeling approach was then used to refine the human PBPK prediction. This model effectively captured plasma drug concentration-time profiles reported for preclinical and clinical studies, including studies involving impact of food and drug-drug interactions with itraconazole and esomeprazole. All observed human concentrations were within 5th and 95th percentile of predictions and PK parameters were within two-fold of the observed in vivo data. Following administration of a single dose (280 mg) of ARV-110, the observed vs. predicted AUC

Indexed as

Models, BiologicalAnimalsDrug InteractionsHumansMiceProteolysis Targeting ChimeraRatsProteolysis Targeting ChimeraabsorptionPBPK modellingpharmacokineticspredictionPROTACs

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.