Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Lydia Siragusa"'
Autor:
Roberta Pacifico, Nunzio Del Gaudio, Guglielmo Bove, Lucia Altucci, Lydia Siragusa, Gabriele Cruciani, Menotti Ruvo, Rosa Bellavita, Paolo Grieco, Mauro F. A. Adamo
Publikováno v:
Journal of Enzyme Inhibition and Medicinal Chemistry, Vol 37, Iss 1, Pp 1987-1994 (2022)
We have recently developed a new synthetic methodology that provided both N-aryl-5-hydroxytriazoles and N-pyridine-4-alkyl triazoles. A selection of these products was carried through virtual screening towards targets that are contemporary and valida
Externí odkaz:
https://doaj.org/article/f9c5fcf1b41543b299f0dd8f3efb65c3
Autor:
Tommaso Palomba, Giusy Tassone, Carmine Vacca, Matteo Bartalucci, Aurora Valeri, Cecilia Pozzi, Simon Cross, Lydia Siragusa, Jenny Desantis
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 22, p 14218 (2022)
The field of targeted protein degradation, through the control of the ubiquitin–proteasome system (UPS), is progressing considerably; to exploit this new therapeutic modality, the proteolysis targeting chimera (PROTAC) technology was born. The oppo
Externí odkaz:
https://doaj.org/article/3746b5fdb19a430aa4718c71306cfa7d
Autor:
Giulia D’Arrigo, Ida Autiero, Eleonora Gianquinto, Lydia Siragusa, Massimo Baroni, Gabriele Cruciani, Francesca Spyrakis
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 15, p 8732 (2022)
Nuclear receptors (NRs) are transcription factors that play an important role in multiple diseases, such as cancer, inflammation, and metabolic disorders. They share a common structural organization composed of five domains, of which the ligand-bindi
Externí odkaz:
https://doaj.org/article/bf1f08107f1e42e292518f28c7adcf05
Autor:
Miquel Duran-Frigola, Lydia Siragusa, Eytan Ruppin, Xavier Barril, Gabriele Cruciani, Patrick Aloy
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 6, p e1005522 (2017)
In the era of systems biology, multi-target pharmacological strategies hold promise for tackling disease-related networks. In this regard, drug promiscuity may be leveraged to interfere with multiple receptors: the so-called polypharmacology of drugs
Externí odkaz:
https://doaj.org/article/9304fa58ed7b46a39f93afa3b3298f65
Autor:
Valerio Ferrario, Lydia Siragusa, Cynthia Ebert, Massimo Baroni, Marco Foscato, Gabriele Cruciani, Lucia Gardossi
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e109354 (2014)
A new bioinformatic methodology was developed founded on the Unsupervised Pattern Cognition Analysis of GRID-based BioGPS descriptors (Global Positioning System in Biological Space). The procedure relies entirely on three-dimensional structure analys
Externí odkaz:
https://doaj.org/article/31f1055d668640d79442d8bb28e45ea2
Publikováno v:
Chemical Biology & Drug Design. 101:69-86
Proteolysis-targeting chimeras (PROTACs) are novel therapeutics for the treatment of human disease. They exploit the enormous potential of the E3 ligases, a class of proteins that mark a target protein for degradation via the ubiquitin-proteasome sys
Autor:
Lydia Siragusa, Gabriele Menna, Fabrizio Buratta, Massimo Baroni, Jenny Desantis, Gabriele Cruciani, Laura Goracci
Publikováno v:
Journal of Chemical Information and Modeling. 62:2901-2908
Autor:
Biolatti, Matteo, Blangetti, Marco, Melissa, Baggieri, Antonella, Marchi, Silvia, Gioacchini, Bajetto, Greta, Arnodo, Davide, Paola, Bucci, Raoul, Fioravanti, Maedeh, Kojouri, Bersani, Matteo, D'Arrigo, Giulia, Lydia, Siragusa, Ghinato, Simone, DE ANDREA, Marco, Gugliesi, Francesca, Albano, Camilla, Pasquero, Selina, Visentin, Ivan, Emilio, D’Ugo, Francesca, Esposito, Paolo, Malune, Enzo, Tramontano, Prandi, Cristina, Spyrakis, Francesca, Fabio, Magurano, Dell'Oste, Valentina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______970::89d183cd9dd997a58e33ad0abbffcace
https://hdl.handle.net/2318/1914710
https://hdl.handle.net/2318/1914710
Publikováno v:
Journal of chemical information and modeling. 62(24)
The prediction of peptide-protein binding sites is of utmost importance to tackle the onset of severe neurodegenerative diseases and cancer. In this work, we detail a novel machine learning model based on Linear Discriminant Analysis (LDA) demonstrat
Autor:
Lydia, Siragusa, Gabriele, Menna, Fabrizio, Buratta, Massimo, Baroni, Jenny, Desantis, Gabriele, Cruciani, Laura, Goracci
Publikováno v:
Journal of chemical information and modeling. 62(12)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of COVID-19 disease, has rapidly imposed an urgent need to identify effective drug candidates. In this context, the high resolution and non-redundant beta-Coronavirus p