Francesca Grisoni

Eindhoven University of Technology

Netherlands

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Articles (19)

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (19)

Shana Sturla

Professor

ETH Zurich

SWITZERLAND

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Martin Baumgartner

University of Zurich

SWITZERLAND

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Mehdi Beniddir

Université Paris-Saclay

FRANCE

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Katherine R. Duncan

University Of Strathclyde

UNITED KINGDOM

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Marco Ballarotto

Ph.D. student in Organic Chemistry under the supervision of Prof. Andrea Temperini

Università degli Studi di Napoli Federico II

ITALY

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Justin van der Hooft

Wageningen University & Research

NETHERLANDS

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Rolf Müller

GERMANY

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Laura Carroll

Assistant Professor/SciLifeLab Data-Driven Life Science (DDLS) Fellow

Umea University

SWEDEN

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Neha Garg

Assistant Professor

Georgia Institute of Technology

UNITED STATES

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Koen de Bruin

Eindhoven University of Technology

NETHERLANDS

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Jamie Spangler

Assistant Professor

Johns Hopkins University

UNITED STATES

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Kai Blin

Technical University of Denmark

DENMARK

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Somayah Elsayed

Assistant Professor

Universiteit Leiden Instituut Biologie Leiden

NETHERLANDS

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Allison Walker

Assistant Professor

Vanderbilt University

UNITED STATES

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Lorenzo Albertazzi

Associate Professor

Eindhoven University of Technology

NETHERLANDS

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Eric J. N. Helfrich

GERMANY

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Nathaniel I. Martin

Leiden University

NETHERLANDS

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Barbara Zdrazil

Universität Wien

AUSTRIA

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Andrea Burden

Assistant Professor

ETH Zürich

SWITZERLAND

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Francesca Grisoni

Research Interests

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Articles (19)

Chemical language modeling with structured state space sequence models

Machine learning-guided high throughput nanoparticle design

Lipid discovery for mRNA delivery guided by machine learning

Deep learning for low-data drug discovery: Hurdles and opportunities

Effectiveness of molecular fingerprints for exploring the chemical space of natural products

Baricitinib and tofacitinib off‐target profile, with a focus on Alzheimer's disease

Artificial intelligence for natural product drug discovery

De Novo Design of Nurr1 Agonists via Fragment-Augmented Generative Deep Learning in Low-Data Regime

Engineering cytokine therapeutics

Identification of fluorescently-barcoded nanoparticles using machine learning

Leveraging molecular structure and bioactivity with chemical language models for de novo drug design

Structure‐Based Drug Discovery with Deep Learning**

Correction to “Exposing the Limitations of Molecular Machine Learning with Activity Cliffs”

Chemical language models for de novo drug design: Challenges and opportunities

Identification of fluorescently-barcoded nanoparticles using machine learning

Machine learning for small molecule drug discovery in academia and industry

Correction to “Exposing the Limitations of Molecular Machine Learning with Activity Cliffs”

Exposing the Limitations of Molecular Machine Learning with Activity Cliffs

Perplexity-Based Molecule Ranking and Bias Estimation of Chemical Language Models

Collaborators (19)

Shana Sturla

Martin Baumgartner

Mehdi Beniddir

Katherine R. Duncan

Marco Ballarotto

Justin van der Hooft

Rolf Müller

Laura Carroll

Neha Garg

Koen de Bruin

Jamie Spangler

Kai Blin

Somayah Elsayed

Allison Walker

Lorenzo Albertazzi

Eric J. N. Helfrich

Nathaniel I. Martin

Barbara Zdrazil

Andrea Burden

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