3-Layer-based analysis of peptide–MHC interaction: In silico prediction, peptide binding affinity and T cell activation in a relevant allergen-specific model
Author:
Publisher
Elsevier BV
Subject
Molecular Biology,Immunology
Reference34 articles.
1. The Protein Data Bank;Bergman;Nucleic Acids Res.,2000
2. A graph-theory algorithm for rapid protein side-chain prediction;Canutescu;Protein Sci.,2003
3. T cell receptor recognition of MHC class II-bound peptide flanking residues enhances immunogenicity and results in altered TCR V region usage;Carson;Immunity,1997
4. T cell clones specific for an amphipathic alpha-helical region of sperm whale myoglobin show differing fine specificities for synthetic peptides A multiview/single structure interpretation of immunodominance;Cease;J. Exp. Med.,1986
5. Naturally processed HLA class II peptides reveal highly conserved immunogenic flanking region sequence preferences that reflect antigen processing rather than peptide-MHC interactions;Godkin;J. Immunol.,2001
Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Unraveling the Allosteric Communication Mechanisms in T-Cell Receptor–Peptide-Loaded Major Histocompatibility Complex Dynamics Using Molecular Dynamics Simulations: An Approach Based on Dynamic Cross Correlation Maps and Residue Interaction Energy Calculations;Journal of Chemical Information and Modeling;2021-04-30
2. Exploring the different states of wild-type T-cell receptor and mutant conformational changes towards understanding the antigen recognition;Journal of Biomolecular Structure and Dynamics;2020-01-08
3. Predicting the Affinity of Peptides to Major Histocompatibility Complex Class II by Scoring Molecular Dynamics Simulations;Journal of Chemical Information and Modeling;2019-07-10
4. How peptide/MHC presence affects the dynamics of the LC13 T-cell receptor;Scientific Reports;2019-02-25
5. Structure-based Methods for Binding Mode and Binding Affinity Prediction for Peptide-MHC Complexes;Current Topics in Medicinal Chemistry;2019-01-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3