Summer Sale

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Get 30% Off

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Lorenzo Antonini

Sapienza University of Rome

Italy

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Research Interests

Biochemistry

20%

Pharmacology

70%

Tumor Suppressor

30%

Chemical Biology

30%

Ligand Design

30%

Hormone Biology

30%

Ethnopharmacology

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles10

Transcriptomic and genomic studies classify NKL54 as a histone deacetylase inhibitor with indirect influence on MEF2-dependent transcription

Article Link

Year:

2022

<i>Pinus mugo</i> Essential Oil Impairs STAT3 Activation through Oxidative Stress and Induces Apoptosis in Prostate Cancer Cells

Article Link

Year:

2022

Human Estrogen Receptor Alpha Antagonists, Part 3: 3-D Pharmacophore and 3-D QSAR Guided Brefeldin A Hit-To-Lead Optimization toward New Breast Cancer Suppressants

Article Link

Year:

2022

Human estrogen receptor α antagonists, part 2: Synthesis driven by rational design, in vitro antiproliferative, and in vivo anticancer evaluation of innovative coumarin-related antiestrogens as breast cancer suppressants

Article Link

Year:

2022

Targeting the anti-apoptotic Bcl-2 family proteins: machine learning virtual screening and biological evaluation of new small molecules

Article Link

Year:

2022

First-in-Class Inhibitors of the Ribosomal Oxygenase MINA53

Article Link

Year:

2021

A Comparative Analysis of Punicalagin Interaction with PDIA1 and PDIA3 by Biochemical and Computational Approaches

Article Link

Year:

2021

Human Estrogen Receptor α Antagonists. Part 1: 3-D QSAR-Driven Rational Design of Innovative Coumarin-Related Antiestrogens as Breast Cancer Suppressants through Structure-Based and Ligand-Based Studies

Article Link

Year:

2021

The anti‐STAT1 polyphenol myricetin inhibits M1 microglia activation and counteracts neuronal death

Article Link

Year:

2021

Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils

Article Link

Year:

2020

Collaborators8

Simona D'Aguanno

Istituto Regina Elena

ITALY

Mathew Coleman

Professor

University of Birmingham

UNITED KINGDOM

Claudio BRANCOLINI

Full professor

Università degli Studi di Udine

ITALY

Rino Ragno

Sapienza University of Rome

ITALY

Fabio ALTIERI

Full professor

Sapienza University of Rome

ITALY

Emiliano Dalla

Università degli Studi di Udine

ITALY

Maria Elena Marcocci

Sapienza University of Rome

ITALY

Marta Di Martile

Istituto Regina Elena

ITALY

How do I reach out?

Meet Kite AI