Chemical programming of kinase inhibitors in a modular chemputer-based system

Manual synthesis of small molecules can represent a rate-limiting step in medicinal chemistry. This study describes the application of an automated, modular synthesis platform ('Chemputer') to a drug discovery project targeting a model of KRAS-mutant colorectal cancer (K-CRC). A 4-anilinoquinazoline-based compound library was synthesized using automated and digitized protocols for nucleophilic aromatic substitution (SnAr) and Suzuki cross-coupling reactions. Chemical synthesis is guided by phenotypic screening of a transgenic Drosophila line engineered to model the genetic profile of a patient's K-CRC tumour. This integrated system enables iterative synthesis and screening cycles. An initial run identified the hit compound AP2-83, which strongly improves animal survival. Kinase profiling and genetic validation find that AP2-83 activity is mediated in part through inhibition of CLK1 and PI3K. A subsequent optimisation effort, informed by these results, produced AP4-43. AP4-43 demonstrates increased efficacy in the Drosophila model and greater potency than regorafenib in a mammalian CRC organoid growth assay. Functional analysis indicates AP4-43 acts as a multi-kinase inhibitor, with its enhanced activity associated with the inhibition of a network including CLK1 and NEK4. This work demonstrates the utility of a digital synthesis platform for generating and optimising lead compounds in a complex, preclinical drug discovery context.

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Publication Details

Journal
Communications Biology
Published
2026-03-27
DOI
https://doi.org/10.1038/s42003-026-09873-8
Primary Topic
Computational Drug Discovery Methods
Type
article
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Chemical programming of kinase inhibitors in a modular chemputer-based system

Hammed Badmos, Ross Cagan, Elena L. Klimareva, Petrisor-Alin Pirvan et al.
Communications Biology
Computational Drug Discovery Methods
article

Chemical programming of kinase inhibitors in a modular chemputer-based system

Hammed Badmos, Ross Cagan, Elena L. Klimareva, Petrisor-Alin Pirvan, Lee Cronin
article en

Abstract

Manual synthesis of small molecules can represent a rate-limiting step in medicinal chemistry. This study describes the application of an automated, modular synthesis platform ('Chemputer') to a drug discovery project targeting a model of KRAS-mutant colorectal cancer (K-CRC). A 4-anilinoquinazoline-based compound library was synthesized using automated and digitized protocols for nucleophilic aromatic substitution (SnAr) and Suzuki cross-coupling reactions. Chemical synthesis is guided by phenotypic screening of a transgenic Drosophila line engineered to model the genetic profile of a patient's K-CRC tumour. This integrated system enables iterative synthesis and screening cycles. An initial run identified the hit compound AP2-83, which strongly improves animal survival. Kinase profiling and genetic validation find that AP2-83 activity is mediated in part through inhibition of CLK1 and PI3K. A subsequent optimisation effort, informed by these results, produced AP4-43. AP4-43 demonstrates increased efficacy in the Drosophila model and greater potency than regorafenib in a mammalian CRC organoid growth assay. Functional analysis indicates AP4-43 acts as a multi-kinase inhibitor, with its enhanced activity associated with the inhibition of a network including CLK1 and NEK4. This work demonstrates the utility of a digital synthesis platform for generating and optimising lead compounds in a complex, preclinical drug discovery context.

Communications Biology
University of Glasgow (GB)
Good health and well-being
Openalex Percentile: Top 4%
Computational Drug Discovery Methods
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Chemical programming of kinase inhibitors in a modular chemputer-based system — Hammed Badmos, Ross Cagan, et al. · Communications Biology (2026) | TGRS Research Map | TGRS