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Journal of Computer-Aided Molecular Design

Volumn 15, Issue 6, 2001, Pages 573-586

Predicting sequences and structures of MHC-binding peptides: A computational combinatorial approach

(3) Zeng, J a Treutlein, H R a Rudy, G B a

a ROYAL MELBOURNE HOSPITAL (Australia)

Author keywords

Computational combinatorial chemistry; Docking; Major histocompatibility complex; MCSS; Peptide design

Indexed keywords

AMINO ACIDS; BINDING ENERGY; BIOCHIPS; COMPUTATIONAL CHEMISTRY; DIAGNOSIS; FORECASTING; MOLECULES; PROBABILITY DISTRIBUTIONS; X RAY CRYSTALLOGRAPHY;

AMINO-ACIDS; COMBINATORIAL CHEMISTRY; COMPUTATIONAL COMBINATORIAL CHEMISTRY; DOCKING; MAJOR HISTOCOMPATIBILITY COMPLEX; MCSS; MHC BINDING PEPTIDE; MHC PEPTIDE; PEPTIDE BINDING; PEPTIDE DESIGN;

PEPTIDES;

AMINO ACID; PEPTIDE;

AMINO ACID SEQUENCE; ARTICLE; AUTOIMMUNE DISEASE; CALCULATION; CELL SURFACE; CHEMICAL STRUCTURE; COMBINATORIAL CHEMISTRY; COMPUTER PROGRAM; CONTROLLED STUDY; DATA BASE; DRUG DESIGN; EXPERIMENT; IMMUNE SYSTEM; INFECTION; INFORMATION; MAJOR HISTOCOMPATIBILITY COMPLEX; MOLECULE; NUCLEAR MAGNETIC RESONANCE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN BINDING; PROTEIN STRUCTURE; STATISTICAL MODEL; TECHNIQUE; THREE DIMENSIONAL IMAGING; X RAY CRYSTALLOGRAPHY;

EID: 0034923790 PISSN: 0920654X EISSN: None Source Type: Journal
DOI: 10.1023/A:1011145123635 Document Type: Article

Times cited : (23)

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