Simone Graziosi

University of Rome Tor Vergata — Italy

Computer Science · Physical Sciences

3h-index40citations19works0.52yr avg
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Research Topics

Computational Drug Discovery Methods(10), Acute Myeloid Leukemia Research(9), Bioinformatics and Genomic Networks(8), Genomics and Chromatin Dynamics(5), Protein Degradation and Inhibitors(5)

Publications19 total

SIGNOR 4.0: the 2025 update with focus on phosphorylation data
Nucleic Acids Research·2025· 2 citedOpen Access
Correction: A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia
Cell Communication and Signaling·2025Open Access
A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia
Cell Communication and Signaling·2025· 2 citedOpen Access
Phosphoproteomics reveals novel BCR::ABL1-independent mechanisms of resistance in chronic myeloid leukemia
2025· 1 citedOpen Access
Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
eLife·2024Open Access
None: Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2024Open Access
Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2024Open Access
Reviewer #3 (Public Review): Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2024Open Access
None: Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2024Open Access
Reviewer #1 (Public Review): Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2024Open Access
Reviewer #2 (Public Review): Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2024Open Access
Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2023Open Access
Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
eLife·2023· 6 citedOpen Access
Reviewer #3 (Public Review): Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2023Open Access
Reviewer #1 (Public Review): Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2023Open Access
Reviewer #2 (Public Review): Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2023Open Access
Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
2023· 1 citedOpen Access
Impact of FLT3-ITD location on cytarabine sensitivity in AML: a network-based approach
Leukemia·2023· 9 citedOpen Access
A key role of the WEE1-CDK1 axis in mediating TKI-therapy resistance in FLT3-ITD positive acute myeloid leukemia patients
Leukemia·2022· 19 citedOpen Access

Frequent Co-authors

Livia Perfetto(19), Francesca Sacco(19), Giorgia Massacci(18), Veronica Venafra(18), Valeria Bica(18), Gessica Minnella(16), Patrizia Chiusolo(16), Sara Latini(15), Giusj Monia Pugliese(15), Thomas Fischer(15), Dimitrios Mougiakakos(15), Marta Iannuccelli(14), Martin Boettcher(13), Filippo Frioni(13), John Donald Marra(13), Gerardo Pepe(13), Manuela Helmer‐Citterich(13), Martin Böttcher(5), D. Mougiakakos(3), Silvio Gualdi(3)