Francesco Sirci

Post-doctoral Fellows

Structural Bioinformatics and Network Biology group
Institute for Research in Biomedicine (IRB)
Parc Científic de Barcelona
C/ Baldiri Reixac 10
08028 Barcelona - Spain

francesco.sirci <At>
Francesco Sirci

Research interests

Molecular Modelling, Bioinformatics, Systems Biology, Gene expression profiles analysis

Previous working experience

November 2009 - December 2012 - PhD at University of Perugia, Molecular modeling and chemoinformatics lab. - Tutor: Prof. Gabriele Cruciani

October 2013 – March 2017– PostDoc fellowship, System and Synthetic Biology Lab., TIGEM (Telethon Institute of Genetics and Medicines), Naples, IT

January 2013 - September 2013 - PostDoc fellowship, Molecular Discovery Ltd., London U.K.

January 2011 – July 2011 - Visiting scientist - Comp. Chem. and Med. Chem. dept. - VU University, Amsterdam, NL

November 2009 – December 2012 – PhD in Chemical Sciences (Computational Drug Discovery and Medicinal Chemistry)


Sirci F.; Goracci, L.; Rodríguez, D.; van Muijlwijk-Koezen, J.; Gutiérrez-de-Terán, H.; Mannhold, R.; Ligand-, structure- and pharmacophore-based molecular fingerprints: a case study on adenosine A1, A2A, A2B and A3 receptor antagonists. J. Comp. Aided Mol. Design., 2012, 11, 1247-1266 - IF 2011: 3.39

Ioan, P.; Ciogli, A.; Sirci F.; Budriesi, R.; Cosimelli, B. Pierini, M.; Severi, E.; Chiarini, C.; Cruciani, G.; Gasparrini, F.; Spinelli, D.; Carosati, E.; Absolute Configuration and Biological Profile of Two Thiazinooxadiazol-3-ones with L-Type Calcium Channel Activity: a Study of the Structural Effects. Organic Biomolecular Chemistry, 2012, 10, 8994-9003 – IF 2011: 3.70

Wijtmans, M.; Maussang, D.; Sirci F.; Scholten, D. J.; Canals, M.; Mujic-Delic, A.; Chong, M.; Chatalic, K. L.; Custers, H.; Janssen, E.; de Graaf, C.; Smit, M. J.; de Esch, I. J.; Leurs, R.; Synthesis, modeling and functional activity of substituted styrene-amides as small-molecule CXCR7 agonists. Eur. J. Med. Chem. 2012, 51, 184-92 - IF 2011: 3.35

Sirci F.; Istyastono, E.P.; Vischer, H.F.; Kooistra, A. J.; Nijmeijer, S.; Kuijer, M.; Wijtmans, M.; Mannhold, R.; Leurs, R.; de Esch, I.J.P.; de Graaf, C.;Virtual fragment screening: Discovery of histamine H3 receptor ligands using ligand-based and protein-based molecular fingerprints. J. Chem. Inf. Model., 2012, 52, 3308-3324 – IF 2011: 4.68

S. Nijmeijer, H. F. Vischer, Sirci F., H. Engelhardt, C. de Graaf, E. M. Rosethorne, S.J. Charlton, R. Leurs; Detailed analysis of biased histamine H4 receptor signalling by JNJ7777120 analogues. Br. J. Pharmacol., 2013, 170(1), 78-88- IF: 4.40

Carrella, D., Napolitano F., Rispoli R., Miglietta M., Carissimo A., Cutillo L., Sirci F., Gregoretti F., Di Bernardo D.; Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis. Bioinformatics 2014, 30, 1787-1788 (2014) - IF: 4.98

Napolitano, F., Sirci F., Carrella, D., di Bernardo, D.; Drug-set enrichment analysis: a novel tool to investigate drug mode of action. Bioinformatics, 2016, 32, 235–241- IF: 4.98

Pesce E., Gorrieri G., Sirci F., Napolitano F., Carrella D., Caci E., Tomati V., Zegarra-Moran O., di Bernardo D., Galietta LJ., Evaluation of a systems biology approach to identify pharmacological correctors of the mutant CFTR chloride channel. J. Cyst. Fibros., 2016, S1569-1993 – IF: 3.48

Carrella D., Manni I., Tumaini B., Dattilo R., Papaccio F., Mutarelli M., Sirci F., Amoreo C.A., Mottolese M., Lezzi M., Ciolli L., Aria V., Bosotti R., Isacchi A., Loreni F., Bardelli A., Avvedimento V.E., di Bernardo D., Cardone L. Computational drugs repositioning identifies inhibitors of oncogenic PI3K/AKT/P70S6K-dependent pathways among FDA-approved compounds - Oncotargets, (2016) - IF: 6.359

Gorrieri G., Scudieri P., Caci E., Schiavon M., Tomati V., Sirci F., Napolitano F., Carrella D., Gianotti A., Musante I., Favia M., Casavola V., Guerra L., Rea F., Ravazzolo R., Di Bernardo D., Galietta L.J. - Goblet Cell Hyperplasia Requires High Bicarbonate Transport To Support Mucin Release - Scientific Reports (2016) - IF: 5.2

Sirci F.*, Napolitano F.*, di Bernardo D. Computational Drug Networks: a computational approach to elucidate drug mode of action and to facilitate drug repositioning for neurodegenerative diseases - Drug Discovery Today: Disease Models (2017)

Sirci F., Napolitano F., Pisonero-Vaquero S. Carrella D., Medina L. D., Di Bernardo D.; Comparing structural and transcriptional drug networks reveals signatures of drug resistance and toxicity in transcriptional responses. 2016 – Manuscript under review