Prediction of antisense oligonucleotide efficacy using aggregate motifs

Journal of Bioinformatics and Computational Biology

Volumn 6, Issue 5, 2008, Pages 919-932

  Sipes, Tamara B ^a   Freier, Susan M ^b  

^a SciberQuest Inc   (United States)

^b ISIS PHARMACEUTICALS   (United States)

Author keywords

Aggregate motifs; Efficacy; Oligonucleotide; Predictive modeling

Indexed keywords

ANTISENSE OLIGONUCLEOTIDE;

ACCURACY; AGGREGATE MOTIF; ARTICLE; DATA MINING; GENETIC ALGORITHM; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; NUCLEIC ACID STRUCTURE; PREDICTION; PROTEIN BINDING; PROTEIN MOTIF; STRUCTURE ACTIVITY RELATION; THERMODYNAMICS;

ALGORITHMS; BASE SEQUENCE; GENE TARGETING; MODELS, GENETIC; MOLECULAR SEQUENCE DATA; OLIGONUCLEOTIDES, ANTISENSE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA;

EID: 54949154978     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720008003795     Document Type: Article

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