Author

Henrik Cordes

Sanofi (Germany)ORCID 0000-0002-0654-3386Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Approach:experimental assay· 1 Approach:large language model· 1 Organism:rat· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Felix JostiD· 2 shared Ahmad Wisnu MulyadiiD· 1 shared Christoph GrebneriD· 1 shared Clemens GiegerichiD· 1 shared Douglas McCloskeyiD· 1 shared Gurdeep SinghiD· 1 shared Hans MatteriD· 1 shared Henning HermjakobiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersSystems Biology

Felix JostORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration-Time Profiles

Felix Jost, Clemens Giegerich, Christoph Grebner, Hans Matter, Henrik Cordes

This paper compares predictive models for rat plasma concentration-time profiles, finding that physics-informed neural networks outperform other methods, especially with limited data.

CPT Pharmacometrics & Systems Pharmacology · Apr 23, 2026Peer-reviewedSystems Biology

Talk2Biomodels: AI agent-based open-source LLM initiative for kinetic biological models

Lilija Wehling, Gurdeep Singh, Ahmad Wisnu Mulyadi, Rakesh Hadne Sreenath, Henning Hermjakob, Tung V. N. Nguyen, Thomas Rückle, Mohammed H. Mosa, Henrik Cordes, Tommaso Andreani, Thomas Klabunde, Rahuman S. Malik‐Sheriff, Douglas McCloskey

Talk2Biomodels provides an AI platform for interacting with biological models using natural language, enhancing accessibility and FAIR principles.

BMC Bioinformatics · Nov 18, 2025Peer-reviewedSystems Biology

Towards pharmacokinetic profile predictions for monoclonal antibodies using sequence based machine learning derived parameters and compartmental modeling

Felix Jost, Henrik Cordes

This paper predicts pharmacokinetic profiles of monoclonal antibodies using sequence-based machine learning and compartmental modeling, achieving accurate predictions with reduced reliance on animal testing.

bioRxiv · May 22, 2025 · PreprintSystems Biology