PMID- 21130094
OWN - NLM
STAT- MEDLINE
DCOM- 20120103
LR  - 20211020
IS  - 1872-7905 (Electronic)
IS  - 0022-1759 (Print)
IS  - 0022-1759 (Linking)
VI  - 374
IP  - 1-2
DP  - 2011 Nov 30
TI  - MULTIPRED2: a computational system for large-scale identification of peptides 
      predicted to bind to HLA supertypes and alleles.
PG  - 53-61
LID - 10.1016/j.jim.2010.11.009 [doi]
AB  - MULTIPRED2 is a computational system for facile prediction of peptide binding to 
      multiple alleles belonging to human leukocyte antigen (HLA) class I and class II 
      DR molecules. It enables prediction of peptide binding to products of individual 
      HLA alleles, combination of alleles, or HLA supertypes. NetMHCpan and NetMHCIIpan 
      are used as prediction engines. The 13 HLA Class I supertypes are A1, A2, A3, 
      A24, B7, B8, B27, B44, B58, B62, C1, and C4. The 13 HLA Class II DR supertypes 
      are DR1, DR3, DR4, DR6, DR7, DR8, DR9, DR11, DR12, DR13, DR14, DR15, and DR16. In 
      total, MULTIPRED2 enables prediction of peptide binding to 1077 variants 
      representing 26 HLA supertypes. MULTIPRED2 has visualization modules for mapping 
      promiscuous T-cell epitopes as well as those regions of high target concentration 
      - referred to as T-cell epitope hotspots. Novel graphic representations are 
      employed to display the predicted binding peptides and immunological hotspots in 
      an intuitive manner and also to provide a global view of results as heat maps. 
      Another function of MULTIPRED2, which has direct relevance to vaccine design, is 
      the calculation of population coverage. Currently it calculates population 
      coverage in five major groups in North America. MULTIPRED2 is an important tool 
      to complement wet-lab experimental methods for identification of T-cell epitopes. 
      It is available at http://cvc.dfci.harvard.edu/multipred2/.
CI  - Copyright (c) 2010 Elsevier B.V. All rights reserved.
FAU - Zhang, Guang Lan
AU  - Zhang GL
AD  - Cancer Vaccine Center, Dana-Farber Cancer Institute, Harvard Medical School, 
      Boston, MA, USA. guanglan_zhang@dfci.harvard.edu
FAU - DeLuca, David S
AU  - DeLuca DS
FAU - Keskin, Derin B
AU  - Keskin DB
FAU - Chitkushev, Lou
AU  - Chitkushev L
FAU - Zlateva, Tanya
AU  - Zlateva T
FAU - Lund, Ole
AU  - Lund O
FAU - Reinherz, Ellis L
AU  - Reinherz EL
FAU - Brusic, Vladimir
AU  - Brusic V
LA  - eng
GR  - U19 AI057330-02/AI/NIAID NIH HHS/United States
GR  - U01 AI090043/AI/NIAID NIH HHS/United States
GR  - U19 AI057330-05/AI/NIAID NIH HHS/United States
GR  - U19 AI057330/AI/NIAID NIH HHS/United States
GR  - U01 AI090043-02/AI/NIAID NIH HHS/United States
GR  - U19 AI057330-04/AI/NIAID NIH HHS/United States
GR  - U01 AI090043-01/AI/NIAID NIH HHS/United States
GR  - U19 AI057330-01/AI/NIAID NIH HHS/United States
GR  - U19 AI 57330/AI/NIAID NIH HHS/United States
GR  - U19 AI057330-03/AI/NIAID NIH HHS/United States
GR  - U01 AI 90043/AI/NIAID NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, U.S. Gov't, Non-P.H.S.
DEP - 20101202
PL  - Netherlands
TA  - J Immunol Methods
JT  - Journal of immunological methods
JID - 1305440
RN  - 0 (HLA Antigens)
RN  - 0 (Peptides)
RN  - 0 (Proteome)
RN  - 0 (Viral Proteins)
SB  - IM
MH  - Alleles
MH  - Amino Acid Sequence
MH  - Computational Biology
MH  - HLA Antigens/classification/genetics/*metabolism
MH  - Humans
MH  - Molecular Sequence Data
MH  - Peptides/*metabolism
MH  - Proteome
MH  - Software
MH  - Viral Proteins/genetics/immunology/metabolism
MH  - Viruses/genetics/immunology
PMC - PMC3090484
MID - NIHMS256929
EDAT- 2010/12/07 06:00
MHDA- 2012/01/04 06:00
PMCR- 2010/12/02
CRDT- 2010/12/07 06:00
PHST- 2010/09/03 00:00 [received]
PHST- 2010/10/29 00:00 [revised]
PHST- 2010/11/18 00:00 [accepted]
PHST- 2010/12/07 06:00 [entrez]
PHST- 2010/12/07 06:00 [pubmed]
PHST- 2012/01/04 06:00 [medline]
PHST- 2010/12/02 00:00 [pmc-release]
AID - S0022-1759(10)00345-5 [pii]
AID - 10.1016/j.jim.2010.11.009 [doi]
PST - ppublish
SO  - J Immunol Methods. 2011 Nov 30;374(1-2):53-61. doi: 10.1016/j.jim.2010.11.009. 
      Epub 2010 Dec 2.