Empirical Evaluation of the Use of Computational HLA Binding as an Early Filter to the Mass Spectrometry-Based Epitope Discovery Workflow.

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Title: Empirical Evaluation of the Use of Computational HLA Binding as an Early Filter to the Mass Spectrometry-Based Epitope Discovery Workflow.
Authors: Bouzid R; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., de Beijer MTA; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Luijten RJ; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Bezstarosti K; Proteomics Center, Erasmus MC, Department of Biochemistry, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Kessler AL; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Bruno MJ; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Peppelenbosch MP; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Demmers JAA; Proteomics Center, Erasmus MC, Department of Biochemistry, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands., Buschow SI; Erasmus MC, Department of Gastroenterology and Hepatology, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.
Source: Cancers [Cancers (Basel)] 2021 May 12; Vol. 13 (10). Date of Electronic Publication: 2021 May 12.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2072-6694
DOI:10.3390/cancers13102307