PAProC: A prediction algorithm for proteasomal cleavages available on the WWW

A. K. Nussbaum; C. Kuttler; K. P. Hadeler; H. G. Rammensee; H. Schild

doi:10.1007/s002510100300

PAProC: A prediction algorithm for proteasomal cleavages available on the WWW

A. K. Nussbaum, C. Kuttler, K. P. Hadeler, H. G. Rammensee, H. Schild

University of Tübingen

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

165 Scopus citations

Abstract

The first version of PAProC (Prediction Algorithm for Proteasomal Cleavages) is now available to the general public. PAProC is a prediction tool for cleavages by human and yeast proteasomes, based on experimental cleavage data. It will be particularly useful for immunologists working on antigen processing and the prediction of major histocompatibility complex class I molecule (MHC I) ligands and cytotoxic T-lymphocyte (CTL) epitopes. Likewise, in cases in which proteasomal protein degradation has been indicated in disease, PAProC can be used to assess the general cleavability of disease-linked proteins. On its web site (http://www.paproc.de), background information and hyperlinks are provided for the user (e.g., to SYFPEITHI, the database for the prediction of MHC I ligands).

Original language	English
Pages (from-to)	87-94
Number of pages	8
Journal	Immunogenetics
Volume	53
Issue number	2
DOIs	https://doi.org/10.1007/s002510100300
State	Published - 2001
Externally published	Yes

Keywords

Algorithm
CTL epitope
Cleavage prediction
MHC
Proteasome

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s002510100300

Cite this

@article{21adf9a384924c9c832376486666293f,

title = "PAProC: A prediction algorithm for proteasomal cleavages available on the WWW",

abstract = "The first version of PAProC (Prediction Algorithm for Proteasomal Cleavages) is now available to the general public. PAProC is a prediction tool for cleavages by human and yeast proteasomes, based on experimental cleavage data. It will be particularly useful for immunologists working on antigen processing and the prediction of major histocompatibility complex class I molecule (MHC I) ligands and cytotoxic T-lymphocyte (CTL) epitopes. Likewise, in cases in which proteasomal protein degradation has been indicated in disease, PAProC can be used to assess the general cleavability of disease-linked proteins. On its web site (http://www.paproc.de), background information and hyperlinks are provided for the user (e.g., to SYFPEITHI, the database for the prediction of MHC I ligands).",

keywords = "Algorithm, CTL epitope, Cleavage prediction, MHC, Proteasome",

author = "Nussbaum, {A. K.} and C. Kuttler and Hadeler, {K. P.} and Rammensee, {H. G.} and H. Schild",

note = "Funding Information: Acknowledgements We would like to thank L. Yakes, K.S. Lindenberg, G.B. Landwehrmeyer, and P. van der Bruggen for critically reading the manuscript. Supported by the Deutsche Forschungsgemeinschaft (Leibnizprogramm Ra369/4-1 to H.G.R.; Schi 301/2-2 to H.S.); the European Union (QLG2-CT-1999-00713), Merck KgaA (Darmstadt, Germany), CTL Immunotherapies Corporation (Chatsworth, Calif.).",

year = "2001",

doi = "10.1007/s002510100300",

language = "English",

volume = "53",

pages = "87--94",

journal = "Immunogenetics",

issn = "0093-7711",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "2",

}

TY - JOUR

T1 - PAProC

T2 - A prediction algorithm for proteasomal cleavages available on the WWW

AU - Nussbaum, A. K.

AU - Kuttler, C.

AU - Hadeler, K. P.

AU - Rammensee, H. G.

AU - Schild, H.

N1 - Funding Information: Acknowledgements We would like to thank L. Yakes, K.S. Lindenberg, G.B. Landwehrmeyer, and P. van der Bruggen for critically reading the manuscript. Supported by the Deutsche Forschungsgemeinschaft (Leibnizprogramm Ra369/4-1 to H.G.R.; Schi 301/2-2 to H.S.); the European Union (QLG2-CT-1999-00713), Merck KgaA (Darmstadt, Germany), CTL Immunotherapies Corporation (Chatsworth, Calif.).

PY - 2001

Y1 - 2001

N2 - The first version of PAProC (Prediction Algorithm for Proteasomal Cleavages) is now available to the general public. PAProC is a prediction tool for cleavages by human and yeast proteasomes, based on experimental cleavage data. It will be particularly useful for immunologists working on antigen processing and the prediction of major histocompatibility complex class I molecule (MHC I) ligands and cytotoxic T-lymphocyte (CTL) epitopes. Likewise, in cases in which proteasomal protein degradation has been indicated in disease, PAProC can be used to assess the general cleavability of disease-linked proteins. On its web site (http://www.paproc.de), background information and hyperlinks are provided for the user (e.g., to SYFPEITHI, the database for the prediction of MHC I ligands).

AB - The first version of PAProC (Prediction Algorithm for Proteasomal Cleavages) is now available to the general public. PAProC is a prediction tool for cleavages by human and yeast proteasomes, based on experimental cleavage data. It will be particularly useful for immunologists working on antigen processing and the prediction of major histocompatibility complex class I molecule (MHC I) ligands and cytotoxic T-lymphocyte (CTL) epitopes. Likewise, in cases in which proteasomal protein degradation has been indicated in disease, PAProC can be used to assess the general cleavability of disease-linked proteins. On its web site (http://www.paproc.de), background information and hyperlinks are provided for the user (e.g., to SYFPEITHI, the database for the prediction of MHC I ligands).

KW - Algorithm

KW - CTL epitope

KW - Cleavage prediction

KW - MHC

KW - Proteasome

UR - http://www.scopus.com/inward/record.url?scp=0035074032&partnerID=8YFLogxK

U2 - 10.1007/s002510100300

DO - 10.1007/s002510100300

M3 - Article

C2 - 11345595

AN - SCOPUS:0035074032

SN - 0093-7711

VL - 53

SP - 87

EP - 94

JO - Immunogenetics

JF - Immunogenetics

IS - 2

ER -

PAProC: A prediction algorithm for proteasomal cleavages available on the WWW

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this