MAPPP: MHC class I antigenic peptide processing prediction.

Jörg Hakenberg; Alexander K. Nussbaum; Hansjörg Schild; Hans Georg Rammensee; Christina Kuttler; Hermann Georg Holzhütter; Peter M. Kloetzel; Stefan H.E. Kaufmann; Hans Joachim Mollenkopf

MAPPP: MHC class I antigenic peptide processing prediction.

Jörg Hakenberg
, Alexander K. Nussbaum
, Hansjörg Schild
, Hans Georg Rammensee
, Christina Kuttler
, Hermann Georg Holzhütter
, Peter M. Kloetzel
, Stefan H.E. Kaufmann
, Hans Joachim Mollenkopf

University of Ulm

Research output: Contribution to journal › Article › peer-review

107 Scopus citations

Abstract

MAPPP is a bioinformatics tool for the prediction of potential antigenic epitopes presented on the cell surface by major histocompatibility complex class I (MHC I) molecules to CD8 positive T lymphocytes. It combines existing predictions for proteasomal cleavage with peptide anchoring to MHC I molecules.

Original language	English
Pages (from-to)	155-158
Number of pages	4
Journal	Applied bioinformatics
Volume	2
Issue number	3
State	Published - 2003
Externally published	Yes

Cite this

@article{ffac767ba7d64a718d75e5f4634f28d8,

title = "MAPPP: MHC class I antigenic peptide processing prediction.",

abstract = "MAPPP is a bioinformatics tool for the prediction of potential antigenic epitopes presented on the cell surface by major histocompatibility complex class I (MHC I) molecules to CD8 positive T lymphocytes. It combines existing predictions for proteasomal cleavage with peptide anchoring to MHC I molecules.",

author = "J{\"o}rg Hakenberg and Nussbaum, \{Alexander K.\} and Hansj{\"o}rg Schild and Rammensee, \{Hans Georg\} and Christina Kuttler and Holzh{\"u}tter, \{Hermann Georg\} and Kloetzel, \{Peter M.\} and Kaufmann, \{Stefan H.E.\} and Mollenkopf, \{Hans Joachim\}",

year = "2003",

language = "English",

volume = "2",

pages = "155--158",

journal = "Applied bioinformatics",

issn = "1175-5636",

publisher = "Adis International Ltd",

number = "3",

}

TY - JOUR

T1 - MAPPP

T2 - MHC class I antigenic peptide processing prediction.

AU - Hakenberg, Jörg

AU - Nussbaum, Alexander K.

AU - Schild, Hansjörg

AU - Rammensee, Hans Georg

AU - Kuttler, Christina

AU - Holzhütter, Hermann Georg

AU - Kloetzel, Peter M.

AU - Kaufmann, Stefan H.E.

AU - Mollenkopf, Hans Joachim

PY - 2003

Y1 - 2003

N2 - MAPPP is a bioinformatics tool for the prediction of potential antigenic epitopes presented on the cell surface by major histocompatibility complex class I (MHC I) molecules to CD8 positive T lymphocytes. It combines existing predictions for proteasomal cleavage with peptide anchoring to MHC I molecules.

AB - MAPPP is a bioinformatics tool for the prediction of potential antigenic epitopes presented on the cell surface by major histocompatibility complex class I (MHC I) molecules to CD8 positive T lymphocytes. It combines existing predictions for proteasomal cleavage with peptide anchoring to MHC I molecules.

UR - https://www.scopus.com/pages/publications/2642555664

M3 - Article

C2 - 15130801

AN - SCOPUS:2642555664

SN - 1175-5636

VL - 2

SP - 155

EP - 158

JO - Applied bioinformatics

JF - Applied bioinformatics

IS - 3

ER -

MAPPP: MHC class I antigenic peptide processing prediction.

Abstract

Other files and links

Fingerprint

Cite this