PAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors.
about
Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning.A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regionsBioinformatics for cancer immunotherapy target discovery.Current tools for predicting cancer-specific T cell immunity.Applications of Immunogenomics to Cancer.Varicella-zoster virus-derived major histocompatibility complex class I-restricted peptide affinity is a determining factor in the HLA risk profile for the development of postherpetic neuralgia.
P2860
PAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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name
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@en
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@nl
type
label
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@en
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@nl
prefLabel
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@en
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@nl
P2093
P1476
PAAQD: Predicting immunogenici ...... ecular similarity descriptors.
@en
P2093
Ingorn Kimkong
Lan Anh T Nguyen
Mamoru Kubo
Osamu Hirose
Thammakorn Saethang
Tu Kien T Le
Vu Anh Tran
Xuan Tho Dang
Yoichi Yamada
P304
P356
10.1016/J.JIM.2012.09.016
P50
P577
2012-10-09T00:00:00Z