Author

Maurizio Recanatini

University of BolognaORCID 0000-0002-0039-0518Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Luca MenestrinaiD· 2 shared Chiara CabrelleiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersPharmacology & Toxicology

Luca MenestrinaORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintNov 29, 2024

Knowledge Graph and Machine Learning Help the Research of Drugs Aimed at Neurological Diseases

Luca Menestrina, Maurizio Recanatini

This study introduces PATHOS, a knowledge graph, and LOGOS, a graph embedding model, to advance drug research for neurological diseases through three case studies.

2 citations

humandeep learning

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedSep 30, 2021

COVIDrugNet: a network-based web tool to investigate the drugs currently in clinical trial to contrast COVID-19

Luca Menestrina, Chiara Cabrelle, Maurizio Recanatini

The paper introduces a web tool, COVIDrugNet, to visualize and analyze ongoing drug clinical trials for COVID-19 and assess their alignment with biological and pharmacological evidence.

9 citations

experimental assaydatabase / resource

𝕏 PostBluesky