Statistical Analysis and Tokenization of Epitopes to Construct Artificial Neoepitope Libraries-Reference-Cited by-同舟云学术

Statistical Analysis and Tokenization of Epitopes to Construct Artificial Neoepitope Libraries

Published:2023-09-13 Issue:10 Volume:12 Page:2812-2818
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Lopez-Martinez Elena¹,Manteca Aitor¹^ORCID,Ferruz Noelia²,Cortajarena Aitziber L.¹³^ORCID

Affiliation:

1. Centre for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, Donostia-San Sebastián, 20014 Spain

2. Molecular Biology Institute of Barcelona (IBMB-CSIC), Barcelona Science Park, Baldiri Reixac, 15-21, 08028, Barcelona, Spain

3. IKERBASQUE, Basque Foundation for Science, Plaza Euskadi 5, 48009 Bilbao, Spain

Funder

European Commission

Ministerio de Ciencia e InnovaciÃ³n

Eusko Jaurlaritza

DiputaciÃ³n Foral de Gipuzkoa

AECT Euroregion New Aquitaine-Navarra-Basque Country

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.3c00201

Reference44 articles.

1. Dissecting Antibodies with Regards to Linear and Conformational Epitopes

2. Two linear epitopes on the SARS-CoV-2 spike protein that elicit neutralising antibodies in COVID-19 patients

3. Editorial: Epitope Discovery and Synthetic Vaccine Design

4. Cancer vaccines: the next immunotherapy frontier

5. Current approaches to fine mapping of antigen-antibody interactions

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