Author

Carl R. Poelking

Astex PharmaceuticalsORCID 0000-0001-8945-2027Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alex BerndtiD· 1 shared Amir Apelbaum· 1 shared Charlotte Mary DeaneiD· 1 shared Judith Reeks· 1 shared Marcel L. VerdonkiD· 1 shared Maria KadukovaiD· 1 shared Michael SauriD· 1 shared Pamela A. WilliamsiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Alex BerndtORCID

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2 papers

Recent·Most cited

BiochemistryBioinformaticsPeer-reviewedJun 1, 2025

Mapping the space of protein binding sites with sequence-based protein language models

Tuğçe Oruç, Maria Kadukova, Thomas G. Davies…·Carl R. Poelking

The paper develops a method combining protein language models with 3D tesselation to create detailed binding site representations, improving downstream tasks like druggability modeling and benchmarking.

4 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 4, 2025

Supervised Deep Learning for Efficient Cryo-EM Image Alignment in Drug Discovery with cryoPARES

Rubén Sánchez-García, Alex Berndt, Amir Apelbaum…·Michael Saur

The paper introduces cryoPARES, a deep learning method for efficient cryo-EM image alignment, enabling faster and automated structure determination with reduced manual intervention.

DOI 10.1101/2025.03.04.641536

electronic health recordsdeep learning

𝕏 PostBluesky