Computational comparison studies of quadratic assignment like formulations for the in silico sequence selection problem in de novo protein design

Journal of Combinatorial Optimization

Volumn 10, Issue 1, 2005, Pages 41-60

  Fung, H K ^a   Rao, S ^a   Floudas, C A ^a   Prokopyev, O ^b   Pardalos, P M ^b   Rendl, F ^c  

^a Princeton University   (United States)

^b University of Florida   (United States)

^c UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

De novo protein design; Drug design; In silico sequence selection; Optimization; Peptide and protein design and discovery; Structure prediction

Indexed keywords

DE NOVO PROTEIN DESIGN; DEAD-END ELIMINATION (DEE); DRUG DESIGN; IN SILICO SEQUENCE SELECTION; PEPTIDE AND PROTEIN DESIGN AND DISCOVERY; REFORMULATION LINEARIZATION TECHNIQUES (RLT); STRUCTURE PREDICTION;

ALGORITHMS; COMBINATORIAL MATHEMATICS; COMPUTATIONAL METHODS; CONSTRAINT THEORY; MATHEMATICAL MODELS; OPTIMIZATION; QUADRATIC PROGRAMMING;

PROTEINS;

EID: 23944486752     PISSN: 13826905     EISSN: 15732886     Source Type: Journal    
DOI: 10.1007/s10878-005-1859-8     Document Type: Conference Paper

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