Suchergebnisse - "Stephanie, Federico"

PubPharm (10)

1

“Dual Anta-Inhibitors” of the A

in: Pharmaceuticals | 2023

von Andrea Spinaci | Michela Buccioni | Daniela Catarzi | +15

2

The Multifaceted Role of GPCRs in Amyotrophic Lateral Sclerosis: A New Therapeutic Perspective?

in: International Journal of Molecular Sciences | 2022

von Davide Bassani | Matteo Pavan | Stephanie Federico | +3

3

A Computational Workflow for the Identification of Novel Fragments Acting as Inhibitors of the Activity of Protein Kinase CK1δ

in: International Journal of Molecular Sciences | 2021

von Giovanni Bolcato | Eleonora Cescon | Matteo Pavan | +6

4

Design, Synthesis and Evaluation of New Indolylpyrimidylpiperazines for Gastrointestinal Cancer Therapy

in: Molecules | 2019

von Aaron Tan | Maria V. Babak | Gopalakrishnan Venkatesan | +10

5

Discovery of indolylpiperazinylpyrimidines with dual-target profiles at adenosine A2A and dopamine D2 receptors for Parkinson's disease treatment.

in: PLoS ONE | 2018

von Yi-Ming Shao | Xiaohua Ma | Priyankar Paira | +11

6

Pyrazolo[4,3-e][1,2,4]triazolo[1,5-c]pyrimidines and Structurally Simplified Analogs. Chemistry and SAR Profile as Adenosine Receptor Antagonists

enthalten in: Current topics in medicinal chemistry | 2016

von Sara Redenti | Antonella Ciancetta | Giorgia Pastorin | +4

7

The Influence of the 1-(3-Trifluoromethyl-Benzyl)-1H-Pyrazole-4-yl Moiety on the Adenosine Receptors Affinity Profile of Pyrazolo[4,3-e][1,2,4]Triazolo[1,5-c]Pyrimidine Derivatives.

in: PLoS ONE | 2015

von Stephanie Federico | Sara Redenti | Mattia Sturlese | +6

8

ChemInform Abstract: Comparison of Nine Programs Predicting pKa Values of Pharmaceutical Substances.

enthalten in: ChemInform | 2010

von Michielan, L. | Stephanie, F. | Terfloth, L. | +6

9

GPU Accelerated Support Vector Machines for Mining High-Throughput Screening Data

enthalten in: Journal of chemical information and modeling | 2009

von Michielan, L. | Stephanie, F. | Terfloth, L. | +6

10

Exploring potency and selectivity receptor antagonist profiles using a multilabel classification approach : the human adenosine receptors as a key study

enthalten in: Journal of chemical information and modeling | 2009

von Michielan, L. | Stephanie, F. | Terfloth, L. | +6

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