Francesca Grisoni

Francesca Grisoni

Technische Universiteit Eindhoven

H-index: 33

Europe-Netherlands

About Francesca Grisoni

Francesca Grisoni, With an exceptional h-index of 33 and a recent h-index of 31 (since 2020), a distinguished researcher at Technische Universiteit Eindhoven, specializes in the field of drug discovery, molecular ML, artificial intelligence, de novo design, cheminformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

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

Chemical Language Modeling with Structured State Spaces

nanoFeatures: a cross-platform application to characterize nanoparticles from super-resolution microscopy images

Practical guidelines for the use of gradient boosting for molecular property prediction

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

Machine learning for small molecule drug discovery in academia and industry

Francesca Grisoni Information

University

Position

Assistant Professor at

Citations(all)

3892

Citations(since 2020)

3552

Cited By

1199

hIndex(all)

33

hIndex(since 2020)

31

i10Index(all)

55

i10Index(since 2020)

52

Email

University Profile Page

Technische Universiteit Eindhoven

Google Scholar

View Google Scholar Profile

Francesca Grisoni Skills & Research Interests

drug discovery

molecular ML

artificial intelligence

de novo design

cheminformatics

Top articles of Francesca Grisoni

Title

Journal

Author(s)

Publication Date

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

Alzheimer's & Dementia: Translational Research & Clinical Interventions

Maria L Faquetti

Laura Slappendel

Hélène Bigonne

Francesca Grisoni

Petra Schneider

...

2024/1

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

Derek van Tilborg

Helena Brinkmann

Emanuele Criscuolo

Luke Rossen

Rıza Özçelik

...

2024/6/1

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

Journal of Cheminformatics

Davide Boldini

Davide Ballabio

Viviana Consonni

Roberto Todeschini

Francesca Grisoni

...

2024/3/25

Chemical Language Modeling with Structured State Spaces

Rıza Özçelik

Sarah de Ruiter

Emanuele Criscuolo

Francesca Grisoni

2024/1/25

nanoFeatures: a cross-platform application to characterize nanoparticles from super-resolution microscopy images

bioRxiv

Cristina Izquierdo-Lozano

Niels van Noort

Stijn van Veen

Marrit ME Tholen

Francesca Grisoni

...

2024

Practical guidelines for the use of gradient boosting for molecular property prediction

Journal of Cheminformatics

Davide Boldini

Francesca Grisoni

Daniel Kuhn

Lukas Friedrich

Stephan A Sieber

2023/8/28

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

Nature Communications

Michael Moret

Irene Pachon Angona

Leandro Cotos

Shen Yan

Kenneth Atz

...

2023/1/7

Machine learning for small molecule drug discovery in academia and industry

Artificial Intelligence in the Life Sciences

Andrea Volkamer

Sereina Riniker

Eva Nittinger

Jessica Lanini

Francesca Grisoni

...

2023/12/1

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

Journal of Medicinal Chemistry

Marco Ballarotto

Sabine Willems

Tanja Stiller

Felix Nawa

Julian A Marschner

...

2023/5/31

Identification of fluorescently-barcoded nanoparticles using machine learning

Nanoscale Advances

Ana Ortiz-Perez

Cristina Izquierdo-Lozano

Rens Meijers

Francesca Grisoni

Lorenzo Albertazzi

2023

Traversing Chemical Space with Active Deep Learning in Low-data Regimes

Derek van Tilborg

Francesca Grisoni

2024/2/23

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

Francesca Grisoni

2023/4/1

Structure‐based Drug discovery with Deep Learning

arXiv preprint arXiv:2212.13295

Rıza Özçelik

Derek van Tilborg

José Jiménez-Luna

Francesca Grisoni

2022/12/26

First-Generation Themed Article Collections

Jürgen Bajorath

Steve Gardner

Francesca Grisoni

Carolina Horta Andrade

Johannes Kirchmair

...

2023/11/15

Artificial intelligence for natural product drug discovery

Michael W Mullowney

Katherine R Duncan

Somayah S Elsayed

Neha Garg

Justin JJ van der Hooft

...

2023/11

Engineering cytokine therapeutics

Jeroen Deckers

Tom Anbergen

Ayla M Hokke

Anne de Dreu

David P Schrijver

...

2023/4

Machine learning-guided high throughput nanoparticle design

ChemRxiv

Ana Ortiz-Pérez

Derek van Tilborg

Roy van der Meel

Francesca Grisoni

Lorenzo Albertazzi

2023/8/29

Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial

Cecile Valsecchi

Francesca Grisoni

Viviana Consonni

Davide Ballabio

Roberto Todeschini

2023/2/8

Identification of novel off targets of baricitinib and tofacitinib by machine learning with a focus on thrombosis and viral infection

Scientific reports

Maria L Faquetti

Francesca Grisoni

Petra Schneider

Gisbert Schneider

Andrea M Burden

2022/5/12

Perplexity-based molecule ranking and bias estimation of chemical language models

Journal of chemical information and modeling

Michael Moret

Francesca Grisoni

Paul Katzberger

Gisbert Schneider

2022/2/22

See List of Professors in Francesca Grisoni University(Technische Universiteit Eindhoven)

Co-Authors

H-index: 62
Roberto Todeschini

Roberto Todeschini

Università degli Studi di Milano-Bicocca

H-index: 47
Viviana Consonni

Viviana Consonni

Università degli Studi di Milano-Bicocca

H-index: 40
Davide Ballabio

Davide Ballabio

Università degli Studi di Milano-Bicocca

H-index: 38
marco orlandi

marco orlandi

Università degli Studi di Milano-Bicocca

H-index: 36
Sara Villa

Sara Villa

Università degli Studi di Milano-Bicocca

H-index: 30
Daniel Merk

Daniel Merk

Goethe-Universität Frankfurt am Main

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