Artificial neural network prediction of antisense oligodeoxynucleotide activity
about
Profiled support vector machines for antisense oligonucleotide efficacy predictionAOBase: a database for antisense oligonucleotides selection and design.Selection of optimal antisense accessible sites of survivin and its application in treatment of gastric cancer.Design of a genome-wide siRNA library using an artificial neural network.Selection of antisense oligonucleotides based on multiple predicted target mRNA structures.Identification of sequence motifs significantly associated with antisense activity.Unravelling the general properties of siRNAs: strength in numbers and lessons from the past.siRNAs target sites selection of ezrin and the influence of RNA interference on ezrin expression and biological characters of osteosarcoma cells.A software tool-box for analysis of regulatory RNA elements.mRNA fusion constructs serve in a general cell-based assay to profile oligonucleotide activity.Prediction of antisense oligonucleotides using structural and thermodynamic motifs.Prediction of antisense oligonucleotide efficacy using aggregate motifs.Ezrin mRNA target site selection for DNAzymes using secondary structure and hybridization thermodynamics.
P2860
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P2860
Artificial neural network prediction of antisense oligodeoxynucleotide activity
description
2002 nî lūn-bûn
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2002年の論文
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2002年学术文章
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name
Artificial neural network prediction of antisense oligodeoxynucleotide activity
@en
type
label
Artificial neural network prediction of antisense oligodeoxynucleotide activity
@en
prefLabel
Artificial neural network prediction of antisense oligodeoxynucleotide activity
@en
P2093
P2860
P356
P1476
Artificial neural network prediction of antisense oligodeoxynucleotide activity
@en
P2093
Atul A Shah
John F Atkins
Michael C Giddings
Olga V Matveeva
Raymond F Gesteland
Sue Freier
P2860
P304
P356
10.1093/NAR/GKF557
P407
P577
2002-10-01T00:00:00Z