Michaël Moret

Harvard University — United States

Computer Science · Physical Sciences

14h-index1.8kcitations56works8.22yr avg
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Research Topics

Computational Drug Discovery Methods(24), Metabolomics and Mass Spectrometry Studies(15), Gene Regulatory Network Analysis(14), Microbial Metabolic Engineering and Bioproduction(14), Machine Learning in Materials Science(11)

Publications56 total

Engineered base editors with reduced bystander editing through directed evolution
Nature Biotechnology·2025· 2 citedOpen Access
Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
Nature Catalysis·2024· 32 citedOpen Access
Algorithms for Autonomous Formation of Multicellular Shapes from Single Cells
ACS Synthetic Biology·2024· 2 citedOpen Access
Preventing escape and malfunction of recoded cells due to tRNA base changes
2024Open Access
Machine Learning and Directed Evolution of Base Editing Enzymes
2024· 5 citedOpen Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 3
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2023Open Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 3
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 2
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2023Open Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 2
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
2023· 13 citedOpen Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 1
Zenodo (CERN European Organization for Nuclear Research)·2023· 1 citedOpen Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states"
2023Open Access
Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 1
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Leveraging molecular structure and bioactivity with chemical language models for de novo drug design
Nature Communications·2023· 146 citedOpen Access
Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks
Nature Machine Intelligence·2022· 78 citedOpen Access
Perplexity-Based Molecule Ranking and Bias Estimation of Chemical Language Models
Journal of Chemical Information and Modeling·2022· 25 citedOpen Access
Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks
2022· 5 citedOpen Access
Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, main part
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, additional part 1
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, additional part 2
2022Open Access
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Frequent Co-authors

Vassily Hatzimanikatis(20), Ljubiša Mišković(20), Francesca Grisoni(17), Gisbert Schneider(17), Subham Choudhury(13), Daniel Merk(10), Bharath Narayanan(7), Pierre Salvy(6), Daniel Weilandt(6), Jonas Béal(6), Eirini Arvaniti(5), Kim S. Fricker(5), Niels J. Rupp(5), Thomas Hermanns(5), Christian D. Fankhauser(5), Norbert Wey(5), Peter J. Wild(5), Manfred Claassen(5), Anush Chiappino-Pepe(5), Kenneth Atz(4)