Concepedia

Davide Boldini

DB

4

Publications

193

Citations

4

H-Index

2022

Active since

Affiliations

Technical University of Munich(Current)

Merck (Germany)

University of Applied Sciences Utrecht

Eindhoven University of Technology

Davide Boldini is an author at Technical University of Munich specializing in drug discovery, deep learning, and knowledge discovery.

Top concepts

MedicineData MiningEngineeringData ScienceMetabolomicsPharmacologyDeep LearningDrug DiscoverySystems BiologyMachine Learning

Publications per year

2022–2024

4

Publications

4

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

Davide Boldini, Francesca Grisoni, Daniel Kühn et al. · Journal of Cheminformatics · 2023 · 103 citations · Full text

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

Davide Boldini, Davide Ballabio, Viviana Consonni et al. · Journal of Cheminformatics · 2024 · 50 citations · Full text

Machine Learning Assisted Hit Prioritization for High Throughput Screening in Drug Discovery

Davide Boldini, Lukas Friedrich, Daniel Kühn et al. · ACS Central Science · 2024 · 23 citations · Full text

Drug Target, Engineering, Machine Learning +21

Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions

Davide Boldini, Lukas Friedrich, Daniel Kühn et al. · Journal of Cheminformatics · 2022 · 17 citations · Full text

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