PuSH - Publikationsserver des Helmholtz Zentrums München

Haase, K.* ; Raffegerst, S.H. ; Schendel, D.J. ; Frishman, D.

Expitope: A web server for epitope expression.

Bioinformatics 31, 1854-1856 (2015)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
MOTIVATION: Adoptive T cell therapies based on introduction of new T cell receptors (TCRs) into patient recipient T cells is a promising new treatment for various kinds of cancers. A major challenge, however, is the choice of target antigens. If an engineered TCR can cross-react with self-antigens in healthy tissue, the side-effects can be devastating. We present the first webserver for assessing epitope sharing when designing new potential lead targets. We enable the users to find all known proteins containing their peptide of interest. The web server returns not only exact matches, but also approximate ones, allowing a number of mismatches of the users choice. For the identified candidate proteins the expression values in various healthy tissues, representing all vital human organs, are extracted from RNA-Seq data as well as from some cancer tissues as control. All results are returned to the user sorted by a score, which is calculated using well established methods and tools for immunological predictions. It depends on the probability that the epitope is created by proteasomal cleavage and its affinities to the TAP transporter and the MHC class I alleles. With this framework we hope to provide a helpful tool to exclude potential cross-reactivity in the early stage of TCR selection for use in design of adoptive T cell immunotherapy. Availability: The Expitope web server can be accessed via http://webclu.bio.wzw.tum.de/expitope. CONTACT: haase@wzw.tum.de.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter T-cell Epitopes; Neural-networks; Prediction; Affinities; Proteasome; Peptides; Toxicity; Cleavage
ISSN (print) / ISBN 1367-4803
e-ISSN 1367-4811
Zeitschrift Bioinformatics
Quellenangaben Band: 31, Heft: 11, Seiten: 1854-1856 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Oxford
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Molecular Immunology (IMI)