Angelo Facchiano

Angelo_Facchiano

Nome: Angelo

Cognome: Facchiano

Posizione: Dirigente di Ricerca
Telefono: (Ufficio) +39 0825 299 625
Telefono: (Laboratorio) +39 0825 299 651
Fax: +39 0825 299 641
e-mail:angelo.facchiano@isa.cnr.it
Sito Web CNR People : http://www.cnr.it/people/angelo.facchiano
Parole Chiave: bioinformatica, interazione molecolare, struttura e funzione delle proteine
Curriculum IT: (clicca qui per vederlo)

Attività di Ricerca

Sviluppo ed applicazione di strumenti bioinformatici per lo studio di malattie associate all’alimentazione, meccanismi molecolari dell’effetto di componenti degli alimenti sulla salute

Principali Pubblicazioni

  • Giordano D, De Masi L, Argenio MA, Facchiano A. (2021)Structural Dissection of Viral Spike-Protein Binding of SARS-CoV-2 and SARS-CoV-1 to the Human Angiotensin-Converting Enzyme 2 (ACE2) as Cellular Receptor.
    Biomedicines, 9(8):1038. doi:10.3390/biomedicines9081038. PMID: 34440241.
  • Marabotti A, Del Prete E, Scafuri B, Facchiano A (2021)
    Performance of Web tools for predicting changes in protein stability caused by mutations.
    BMC Bioinformatics 22(Suppl 7):345. doi: 10.1186/s12859-021-04238-w PMID: 34225665.
  • Giordano D, Facchiano A, D’Auria S, Loreto F. (2021).
    A hypothesis on the capacity of plant odorant-binding proteins to bind volatile isoprenoids based on in silico evidences.
    Elife 2021 Jun 23;10:e66741. doi: 10.7554/eLife.66741. PMID: 34161230.
  • Dotolo S, Cervellera C, Russo M, Russo GL, Facchiano A. (2021)
    Virtual Screening of Natural Compounds as Potential PI 3 K-AKT1 Signaling Pathway Inhibitors and Experimental Validation.
    Molecules 2021 Jan 18;26(2):492. doi: 10.3390/molecules26020492. PMID: 33477701
  • Scafuri B, Bontempo P, Altucci L, De Masi L, Facchiano A. (2020)
    Molecular Docking Simulations on Histone Deacetylases (HDAC)-1 and -2 to Investigate the Flavone Binding.
    Biomedicines 2020 Dec 4;8(12):E568. doi: 10.3390/biomedicines8120568. PMID: 33291755
  • Marabotti A, Scafuri B, Facchiano A. (2020)
    Predicting the stability of mutant proteins by computational approaches: an overview.
    Brief Bioinform. 2020 Jun 3:bbaa074. doi: 10.1093/bib/bbaa074. Online ahead of print. PMID: 32496523
  • Giordano D, Facchiano A. (2019)
    Classification of microbial transglutaminases by evaluation of evolution trees, sequence motifs, secondary structure topology and conservation of potential catalytic residues.
    Biochem Biophys Res Commun. 2019, 509(2), 506-513. doi: 10.1016/j.bbrc.2018.12.121. PMID: 30595384
    Corrigendum: Biochem Biophys Res Commun. 2019 Mar 26;511(1):205. doi: 10.1016/j.bbrc.2019.02.058. PMID: 30777328
  • De Masi L, Castaldo D, Pignone D, Servillo L, Facchiano A. (2017)
    Experimental Evidence and In Silico Identification of Tryptophan Decarboxylase in Citrus Genus.
    Molecules 2017 Feb 11;22(2). pii: E272. doi: 10.3390/molecules22020272.
    PMID: 27808487
  • Scafuri B, Marabotti A, Carbone V, Minasi P, Dotolo S, Facchiano A. (2016)
    A theoretical study on predicted protein targets of apple polyphenols and possible mechanisms of chemoprevention in colorectal cancer.
    Sci Rep. 2016 Sep 2;6:32516. doi: 10.1038/srep32516.
    PMID: 27587238
  • Romano P, Profumo A, Rocco M, Mangerini R, Ferri F, Facchiano A. (2016)
    Geena 2, improved automated analysis of MALDI/TOF mass spectra.
    BMC Bioinformatics 2016 Mar 2;17 Suppl 4:61. doi: 10.1186/s12859-016-0911-2. PMID: 26961516