ATLAS: A database linking binding affinities with structures for wild-type and mutant TCR-pMHC complexes

被引:53
作者
Borrman, Tyler [1 ]
Cimons, Jennifer [2 ,3 ]
Cosiano, Michael [2 ,3 ]
Purcaro, Michael [1 ]
Pierce, Brian G. [4 ]
Baker, Brian M. [2 ,3 ]
Weng, Zhiping [1 ]
机构
[1] Univ Massachusetts, Sch Med, Program Bioinformat & Integrat Biol, Worcester, MA 01605 USA
[2] Univ Notre Dame, Dept Chem & Biochem, Notre Dame, IN 46566 USA
[3] Univ Notre Dame, Harper Canc Res Inst, Notre Dame, IN 46566 USA
[4] Univ Maryland, Inst Biosci & Biotechnol Res, Rockville, MD 20850 USA
基金
美国国家卫生研究院;
关键词
binding energy; protein modeling; scoring functions; adaptive immunity; 3D viewer; Rosetta; T-CELL-RECEPTOR; CROSS-REACTIVITY; PROTEIN COMPLEXES; PEPTIDES; RECOGNITION; DESIGN; MHC; FLEXIBILITY; EVOLUTION; TOXICITY;
D O I
10.1002/prot.25260
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The ATLAS (Altered TCR Ligand Affinities and Structures) database (/) is a manually curated repository containing the binding affinities for wild-type and mutant T cell receptors (TCRs) and their antigens, peptides presented by the major histocompatibility complex (pMHC). The database links experimentally measured binding affinities with the corresponding three dimensional (3D) structures for TCR-pMHC complexes. The user can browse and search affinities, structures, and experimental details for TCRs, peptides, and MHCs of interest. We expect this database to facilitate the development of next-generation protein design algorithms targeting TCR-pMHC interactions. ATLAS can be easily parsed using modeling software that builds protein structures for training and testing. As an example, we provide structural models for all mutant TCRs in ATLAS, built using the Rosetta program. Utilizing these structures, we report a correlation of 0.63 between experimentally measured changes in binding energies and our predicted changes. Proteins 2017; 85:908-916. (c) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:908 / 916
页数:9
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