2021
DOI: 10.1021/acs.jcim.1c00470
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Complete Mesoscopic Parameterization of Single LNA Modifications in DNA Applied to Oncogene Probe Design

Abstract: The use of mesoscopic models to describe the thermodynamic properties of locked nucleic acid (LNA)-modified nucleotides can provide useful insights into their properties, such as hydrogen-bonding and stacking interactions. In addition, the mesoscopic parameters can be used to optimize LNA insertion in probes, to achieve accurate melting temperature predictions, and to obtain duplex opening profiles at the base-pair level. Here, we applied this type of model to parameterize a large set of melting temperatures f… Show more

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Cited by 2 publications
(2 citation statements)
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“…A potential pitfall and a scientific challenge of any miRNA detection method is the design of the specific detection probes. Recently, we applied a unique Peyrard-Bishop mesoscopic model to design oncogene-specific probes, which accounts for both hydrogen bonding and pistacking interactions between each individual nucleotide pair [29][30][31]. The model included locked nucleic acid (LNA) enriched probes that were designed specifically to target the desired DNA and RNA.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A potential pitfall and a scientific challenge of any miRNA detection method is the design of the specific detection probes. Recently, we applied a unique Peyrard-Bishop mesoscopic model to design oncogene-specific probes, which accounts for both hydrogen bonding and pistacking interactions between each individual nucleotide pair [29][30][31]. The model included locked nucleic acid (LNA) enriched probes that were designed specifically to target the desired DNA and RNA.…”
Section: Introductionmentioning
confidence: 99%
“…The model included locked nucleic acid (LNA) enriched probes that were designed specifically to target the desired DNA and RNA. LNA is a nucleic acid analogue which improves the probes' affinity and specificity especially for DNA:RNA recognition [24,29,[32][33][34]. Using this model, we optimized oligonucleotide reagents so that the target SNP in coding RNA was discriminated with high specificity [31].…”
Section: Introductionmentioning
confidence: 99%