Author

Michael Bailey

Sanofi (United States)ORCID 0009-0004-8425-993XUnclaimed 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:sequence-to-function modeling· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:large language model· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Sven JägeriD· 4 shared Lorenzo Kogler-Anele· 3 shared Ruijiang LiiD· 3 shared Sizhen Li· 3 shared Ziv Bar‐JosephiD· 3 shared Alejandro Corrochano-Navarro· 2 shared Saeed MoayedpouriD· 2 shared Saleh Riahi· 2 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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4 shared papersBioinformatics

Sven JägerORCID

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4 papers

Recent·Most cited

mRNA-GPT: A Generative Model for Full-Length mRNA Design and Optimization

Sizhen Li, Paul Chauvin, Ofek Gross, Michael Bailey, Sven Jäger

mRNA-GPT is a generative model that optimizes full-length mRNA sequences by jointly optimizing all three regions, achieving Pareto-optimal designs and outperforming existing methods.

bioRxiv · Apr 2, 2026 · PreprintBioinformatics

Active Learning for Protein Structure Prediction

Zexin Xue, Michael Bailey, Abhinav Gupta, Ruijiang Li, Alejandro Corrochano-Navarro, Sizhen Li, Lorenzo Kogler-Anele, Qian Yu, Ziv Bar‐Joseph, Sven Jäger

The paper applies a novel active learning strategy, DEW-DROP, to improve protein structure prediction efficiency and data selection for two protein datasets.

Lecture notes in computer science · Jan 1, 2025Peer-reviewedMolecular Biology

CodonBERT: Large Language Models for mRNA Design and Optimization

Sizhen Li, Saeed Moayedpour, Ruijiang Li, Michael Bailey, Saleh Riahi, Lorenzo Kogler-Anele, Milad Miladi, Jacob C. Miner, Fabien Pertuy, Dinghai Zheng, Jun Wang, Akshay Balsubramani, Khang Tran, Minnie Zacharia, Monica Wu, , Sven Jäger

CodonBERT is a large language model for mRNA design and optimization that outperforms previous methods on a flu vaccine dataset.

Genome Research · Jul 1, 2024Peer-reviewedBioinformatics

Deep Batch Active Learning for Drug Discovery

Michael Bailey, Saeed Moayedpour, Ruijiang Li, Alejandro Corrochano-Navarro, Alexander Kötter, Lorenzo Kogler-Anele, Saleh Riahi, Christoph Grebner, Gerhard Heßler, Hans Matter, Marc Bianciotto, Pablo Mas, Ziv Bar‐Joseph, Sven Jäger

The paper develops two novel active learning batch selection methods for drug discovery, showing significant improvements over existing methods across multiple datasets.

bioRxiv · Jul 26, 2023 · PreprintBioinformatics