A generalized framework for computational design and mutational scanning of T-cell receptor binding interfaces

Protein Engineering, Design and Selection

Volumn 29, Issue 12, 2016, Pages 595-606

  Riley, Timothy P ^a   Ayres, Cory M ^a   Hellman, Lance M ^a   Singh, Nishant K ^a   Cosiano, Michael ^a   Cimons, Jennifer M ^a   Anderson, Michael J ^a   Piepenbrink, Kurt H ^a,d   Pierce, Brian G ^b   Weng, Zhiping ^c   Baker, Brian M ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

Affinity; Mutational scanning; Specificity; Structure guided design; T cell receptor

Indexed keywords

CELL MEMBRANES; SCANNING;

AFFINITY; COMPUTATIONAL DESIGN; DESIGN FRAMEWORKS; MOLECULAR FLEXIBILITY; MULTIPLE INTERFACES; SCORING FUNCTIONS; SPECIFICITY; T CELL RECEPTOR;

T-CELLS;

HLA A2 ANTIGEN; PEPTIDE; T LYMPHOCYTE RECEPTOR; WATER; LYMPHOCYTE ANTIGEN RECEPTOR; PROTEIN BINDING;

ARTICLE; POINT MUTATION; PREDICTION; PRIORITY JOURNAL; RECEPTOR BINDING; BIOLOGY; CHEMISTRY; GENETICS; METABOLISM; MOLECULAR DYNAMICS; MUTATION; PROCEDURES; PROTEIN ENGINEERING; PROTEIN SECONDARY STRUCTURE;

COMPUTATIONAL BIOLOGY; HLA-A2 ANTIGEN; MOLECULAR DYNAMICS SIMULATION; MUTATION; PROTEIN BINDING; PROTEIN ENGINEERING; PROTEIN STRUCTURE, SECONDARY; RECEPTORS, ANTIGEN, T-CELL;

EID: 84995786053     PISSN: 17410126     EISSN: 17410134     Source Type: Journal    
DOI: 10.1093/protein/gzw050     Document Type: Article

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