Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
by
Bassani-Sternberg, Michal
, Guillaume, Philippe
, Kandalaft, Lana E.
, Chong, Chloé
, Coukos, George
, Gfeller, David
, Gannon, Philippe O.
, Solleder, Marthe
, Pak, HuiSong
in
Alleles
/ Amino Acid Motifs - genetics
/ Antigen (tumor-associated)
/ Antigen presentation
/ Antigens
/ Authorship
/ Binding sites
/ Binding Sites - genetics
/ Bioinformatics
/ Biology and Life Sciences
/ Cancer
/ Datasets
/ Funding
/ Genomes
/ Health aspects
/ Histocompatibility antigen HLA
/ Histocompatibility antigens
/ Histocompatibility Antigens Class I - chemistry
/ Histocompatibility Antigens Class I - genetics
/ Histocompatibility Antigens Class I - metabolism
/ HLA antigens
/ HLA histocompatibility antigens
/ Humans
/ Immunotherapy
/ In vitro methods and tests
/ Infectious diseases
/ Ligands
/ Lymphocytes
/ Medical research
/ Medicine and Health Sciences
/ Melanoma
/ Mutagenesis
/ Oncology
/ Peptides
/ Peptides - analysis
/ Peptides - chemistry
/ Peptides - genetics
/ Peptides - metabolism
/ Physical Sciences
/ Protein Binding - genetics
/ Protein structure
/ Proteins
/ Proteome - chemistry
/ Proteome - genetics
/ Proteome - metabolism
/ Proteomics - methods
/ Research and Analysis Methods
/ Structural analysis
2017
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
by
Bassani-Sternberg, Michal
, Guillaume, Philippe
, Kandalaft, Lana E.
, Chong, Chloé
, Coukos, George
, Gfeller, David
, Gannon, Philippe O.
, Solleder, Marthe
, Pak, HuiSong
in
Alleles
/ Amino Acid Motifs - genetics
/ Antigen (tumor-associated)
/ Antigen presentation
/ Antigens
/ Authorship
/ Binding sites
/ Binding Sites - genetics
/ Bioinformatics
/ Biology and Life Sciences
/ Cancer
/ Datasets
/ Funding
/ Genomes
/ Health aspects
/ Histocompatibility antigen HLA
/ Histocompatibility antigens
/ Histocompatibility Antigens Class I - chemistry
/ Histocompatibility Antigens Class I - genetics
/ Histocompatibility Antigens Class I - metabolism
/ HLA antigens
/ HLA histocompatibility antigens
/ Humans
/ Immunotherapy
/ In vitro methods and tests
/ Infectious diseases
/ Ligands
/ Lymphocytes
/ Medical research
/ Medicine and Health Sciences
/ Melanoma
/ Mutagenesis
/ Oncology
/ Peptides
/ Peptides - analysis
/ Peptides - chemistry
/ Peptides - genetics
/ Peptides - metabolism
/ Physical Sciences
/ Protein Binding - genetics
/ Protein structure
/ Proteins
/ Proteome - chemistry
/ Proteome - genetics
/ Proteome - metabolism
/ Proteomics - methods
/ Research and Analysis Methods
/ Structural analysis
2017
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
by
Bassani-Sternberg, Michal
, Guillaume, Philippe
, Kandalaft, Lana E.
, Chong, Chloé
, Coukos, George
, Gfeller, David
, Gannon, Philippe O.
, Solleder, Marthe
, Pak, HuiSong
in
Alleles
/ Amino Acid Motifs - genetics
/ Antigen (tumor-associated)
/ Antigen presentation
/ Antigens
/ Authorship
/ Binding sites
/ Binding Sites - genetics
/ Bioinformatics
/ Biology and Life Sciences
/ Cancer
/ Datasets
/ Funding
/ Genomes
/ Health aspects
/ Histocompatibility antigen HLA
/ Histocompatibility antigens
/ Histocompatibility Antigens Class I - chemistry
/ Histocompatibility Antigens Class I - genetics
/ Histocompatibility Antigens Class I - metabolism
/ HLA antigens
/ HLA histocompatibility antigens
/ Humans
/ Immunotherapy
/ In vitro methods and tests
/ Infectious diseases
/ Ligands
/ Lymphocytes
/ Medical research
/ Medicine and Health Sciences
/ Melanoma
/ Mutagenesis
/ Oncology
/ Peptides
/ Peptides - analysis
/ Peptides - chemistry
/ Peptides - genetics
/ Peptides - metabolism
/ Physical Sciences
/ Protein Binding - genetics
/ Protein structure
/ Proteins
/ Proteome - chemistry
/ Proteome - genetics
/ Proteome - metabolism
/ Proteomics - methods
/ Research and Analysis Methods
/ Structural analysis
2017
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
Journal Article
Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
2017
Request Book From Autostore
and Choose the Collection Method
Overview
The precise identification of Human Leukocyte Antigen class I (HLA-I) binding motifs plays a central role in our ability to understand and predict (neo-)antigen presentation in infectious diseases and cancer. Here, by exploiting co-occurrence of HLA-I alleles across ten newly generated as well as forty public HLA peptidomics datasets comprising more than 115,000 unique peptides, we show that we can rapidly and accurately identify many HLA-I binding motifs and map them to their corresponding alleles without any a priori knowledge of HLA-I binding specificity. Our approach recapitulates and refines known motifs for 43 of the most frequent alleles, uncovers new motifs for 9 alleles that up to now had less than five known ligands and provides a scalable framework to incorporate additional HLA peptidomics studies in the future. The refined motifs improve neo-antigen and cancer testis antigen predictions, indicating that unbiased HLA peptidomics data are ideal for in silico predictions of neo-antigens from tumor exome sequencing data. The new motifs further reveal distant modulation of the binding specificity at P2 for some HLA-I alleles by residues in the HLA-I binding site but outside of the B-pocket and we unravel the underlying mechanisms by protein structure analysis, mutagenesis and in vitro binding assays.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Amino Acid Motifs - genetics
/ Antigens
/ Cancer
/ Datasets
/ Funding
/ Genomes
/ Histocompatibility antigen HLA
/ Histocompatibility Antigens Class I - chemistry
/ Histocompatibility Antigens Class I - genetics
/ Histocompatibility Antigens Class I - metabolism
/ HLA histocompatibility antigens
/ Humans
/ Ligands
/ Medicine and Health Sciences
/ Melanoma
/ Oncology
/ Peptides
/ Proteins
This website uses cookies to ensure you get the best experience on our website.