Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Epitope predictions"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Canine kobuvirus (CaKoV) is a pathogen associated with canine gastrointestinal disease (GID). This study examined 327 rectal swabs (RS), including 113 from Vietnam (46 healthy, 67 with GID) and 214 from Thailand (107 healthy and 107 with GID
Externí odkaz:
https://doaj.org/article/799564a4804143069df3d0c3f6bff76f
Akademický článek
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Autor:
Stefano De Benedetti, Flavio Di Pisa, Enrico Mario Alessandro Fassi, Marina Cretich, Angelo Musicò, Roberto Frigerio, Alessandro Mussida, Mauro Bombaci, Renata Grifantini, Giorgio Colombo, Martino Bolognesi, Romualdo Grande, Nadia Zanchetta, Maria Rita Gismondo, Davide Mileto, Alessandro Mancon, Louise Jane Gourlay
Publikováno v:
Vaccines, Vol 9, Iss 4, p 322 (2021)
The human parasitic disease Schistosomiasis is caused by the Schistosoma trematode flatworm that infects freshwaters in tropical regions of the world, particularly in Sub-Saharan Africa, South America, and the Far-East. It has also been observed as a
Externí odkaz:
https://doaj.org/article/292b4e96110142fbae1f20fd88fddf3c
Autor:
Laia Bosch-Camós, Elisabet López, María Jesús Navas, Sonia Pina-Pedrero, Francesc Accensi, Florencia Correa-Fiz, Chankyu Park, Montserrat Carrascal, Javier Domínguez, Maria Luisa Salas, Veljko Nikolin, Javier Collado, Fernando Rodríguez
Publikováno v:
Vaccines, Vol 9, Iss 1, p 29 (2021)
The development of subunit vaccines against African swine fever (ASF) is mainly hindered by the lack of knowledge regarding the specific ASF virus (ASFV) antigens involved in protection. As a good example, the identity of ASFV-specific CD8+ T-cell de
Externí odkaz:
https://doaj.org/article/7864c3b4ad6047f2b5a183828f6ede1d
Publikováno v:
Seminars in immunology, vol. 66, pp. 101708
The identification of T-cell epitopes is key for a complete molecular understanding of immune recognition mechanisms in infectious diseases, autoimmunity and cancer. T-cell epitopes further provide targets for personalized vaccines and T-cell therapy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1900::90ceaf7a835977363e4fb7a6d583cca8
https://serval.unil.ch/notice/serval:BIB_147110FC223F
https://serval.unil.ch/notice/serval:BIB_147110FC223F
Akademický článek
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Akademický článek
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Autor:
Riccardo Capelli, Claudio Peri, Riccardo Villa, Arnone Nithichanon, Oscar Conchillo-Solé, Daniel Yero, Paola Gagni, Marcella Chiari, Ganjana Lertmemongkolchai, Marina Cretich, Xavier Daura, Martino Bolognesi, Giorgio Colombo, Louise J. Gourlay
Publikováno v:
Antibodies, Vol 7, Iss 3, p 26 (2018)
Due to significant advances in computational biology, protein prediction, together with antigen and epitope design, have rapidly moved from conventional methods, based on experimental approaches, to in silico-based bioinformatics methods. In this con
Externí odkaz:
https://doaj.org/article/b688d07768414a0aa11920df4d580f3b
Autor:
Oscar Conchillo-Solé, Marina Cretich, Martino Bolognesi, Arnone Nithichanon, Claudio Peri, Louise J. Gourlay, Riccardo Capelli, Daniel Yero, Marcella Chiari, Giorgio Colombo, Ganjana Lertmemongkolchai, Xavier Daura, Paola Gagni, Riccardo Villa
Publikováno v:
Recercat: Dipósit de la Recerca de Catalunya
Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Recercat. Dipósit de la Recerca de Catalunya
instname
Antibodies
Volume 7
Issue 3
Antibodies, Vol 7, Iss 3, p 26 (2018)
'Antibodies ', vol: 7, pages: 26-1-26-14 (2018)
Antibodies 7(3), 26-(2018). doi:10.3390/antib7030026
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Recercat. Dipósit de la Recerca de Catalunya
instname
Antibodies
Volume 7
Issue 3
Antibodies, Vol 7, Iss 3, p 26 (2018)
'Antibodies ', vol: 7, pages: 26-1-26-14 (2018)
Antibodies 7(3), 26-(2018). doi:10.3390/antib7030026
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Due to significant advances in computational biology, protein prediction, together with antigen and epitope design, have rapidly moved from conventional methods, based on experimental approaches, to in silico-based bioinformatics methods. In this con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1219b0f1e0d241a07db70df430736a07
http://hdl.handle.net/2072/438587
http://hdl.handle.net/2072/438587
Autor:
Cihan, Pınar, Özger, Zeynep Banu
Publikováno v:
Computational biology and chemistry. 98
The emergence of machine learning-based in silico tools has enabled rapid and high-quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning methods have been used in many topics such as predicting the death of patients,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52a6d4f584f1a47f6cd8d907103c17de
https://pubmed.ncbi.nlm.nih.gov/35561658
https://pubmed.ncbi.nlm.nih.gov/35561658