Developing predictive hybridization models for phosphorothioate oligonucleotides using high-resolution melting

• Published in: PloS one Vol. 17; no. 5; p. e0268575
• Main Authors: Wang, Siyuan S., Xiong, Erhu, Bhadra, Sanchita, Ellington, Andrew D.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 18.05.2022; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Circuit design; Datasets; Deoxyribonucleic acid; Design; DNA; DNA - genetics; Experimentation; Experiments; Helices; High resolution; Hybridization; Mathematical models; Melting; Modelling; Nucleic Acid Conformation; Nucleic Acid Hybridization; Nucleic acids; Oligonucleotides; Parameters; Phosphorothioate; Phosphorothioate Oligonucleotides; Physical Sciences; Prediction models; Regression analysis; Research and Analysis Methods; Stability; Standard deviation; United States; United States > US

The ability to predict nucleic acid hybridization energies has been greatly enabling for many applications, but predictive models require painstaking experimentation, which may limit expansion to non-natural nucleic acid analogues and chemistries. We have assessed the utility of dye-based, high-reso...