Literature DB >> 15625912

Computational identification of antisense oligonucleotides that rapidly hybridize to RNA.

Jian-Ying Wang1, Karl Drlica.   

Abstract

The ability of a computational model to determine the relative rate of hybridization between anti-sense oligonucleotides and RNA was tested using HIV-1 tat mRNA. The model, which was based on the assumptions that hybridization is a second-order reaction and that early in the hybridization reaction the concentrations of intermediates are approximately constant (steady-state), allows calculation of a rate factor that is proportional to the reaction constant. Formation of oligodeoxynucleotide (ODN)-RNA hybrid, detected by RNase H-dependent cleavage, increased nearly linearly during an initial incubation period, consistent with the steady-state approximation. The initial hybridization rate increased linearly with substrate RNA concentration and with ODN concentration, indicating a second-order reaction. The logarithm of the second-order reaction constant, determined from the initial rate for hybridization between tat mRNA and 16 ODNs targeted to various sites, was linearly related to the logarithm of the calculated rate factor (r = 0.83, p < 0.001). Thus, the rate factor can be used to identify rapidly hybridizing antisense sequences using target nucleotide sequence information.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15625912     DOI: 10.1089/oli.2004.14.167

Source DB:  PubMed          Journal:  Oligonucleotides        ISSN: 1545-4576


  3 in total

1.  Computational prediction of efficient splice sites for trans-splicing ribozymes.

Authors:  Dario Meluzzi; Karen E Olson; Gregory F Dolan; Gaurav Arya; Ulrich F Müller
Journal:  RNA       Date:  2012-01-24       Impact factor: 4.942

2.  Evaluation of dynamic features of Escherichia coli 16S ribosomal RNA in homogeneous physiological solution.

Authors:  Takashi Sakamoto; Atsushi Mahara; Koichi Yamagata; Reiko Iwase; Tetsuji Yamaoka; Akira Murakami
Journal:  Biophys J       Date:  2005-12       Impact factor: 4.033

3.  Single-molecule tracking of the transcription cycle by sub-second RNA detection.

Authors:  Zhengjian Zhang; Andrey Revyakin; Jonathan B Grimm; Luke D Lavis; Robert Tjian
Journal:  Elife       Date:  2014-01-28       Impact factor: 8.140

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.