Literature DB >> 12956938

Optimization of antisense drug design against conservative local motif in simulant secondary structures of HER-2 mRNA and QSAR analysis.

Shuan-Ping Yang1, San-Tai Song, Zhong-Ming Tang, Hai-Feng Song.   

Abstract

AIM: To study the role of mRNA secondary structure stability in antisense drug design and obtain better antisense candidates against neu/HER-2/erbB-2 mRNA than previous report.
METHODS: Program RNAstructure was utilized to simulate the secondary structures of HER-2 mRNA. Then 21 antisense phosphorothioate oligodeoxynucleotides (S-ODN) targeting different parts of secondary structural motif were designed. HA4 was set as positive control. Mean 50 % inhibitory effects (IC(50)) of S-ODN on proliferations of SK-BR-3 breast cancer cells were evaluated. The expression of target mRNA was detected by RT-PCR. The multiple regression and quantitative structure-activity relationship (QSAR) analysis was preformed by SPSS software.
RESULTS: One optimal and two suboptimal secondary structures of target mRNA were obtained. Nine out of 11 S-ODN against completely conservative local motif (LM) (conservative among all simulant secondary structures) got lower or similar IC(50) values compared with HA4. On the other hand, 2 out of 3 S-ODN against relatively conservative LM (conservative between any two simulant secondary structures) got lower or similar IC(50) values compared with HA4. Only 2 out of 5 S-ODN targeting variable LM (variable among different predicted secondary structures) had acceptable activities. Average IC(50) of S-ODN against completely conservative LM was significantly lower than that of S-ODN against diverse LM. QSAR analysis suggested that stability, base number of bulge loops, and target free energies Delta GoT were statistically significant. In the multiple regression, R was 0.967, P=0.005.
CONCLUSION: Antisense drug design against conservative LM was helpful for improving the positive rate. Several S-ODN candidates better than positive control were screened.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12956938

Source DB:  PubMed          Journal:  Acta Pharmacol Sin        ISSN: 1671-4083            Impact factor:   6.150


  3 in total

Review 1.  Antisense oligonucleotides: treating neurodegeneration at the level of RNA.

Authors:  Sarah L DeVos; Timothy M Miller
Journal:  Neurotherapeutics       Date:  2013-07       Impact factor: 7.620

2.  Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods.

Authors:  María Jimena Martínez; Ignacio Ponzoni; Mónica F Díaz; Gustavo E Vazquez; Axel J Soto
Journal:  J Cheminform       Date:  2015-08-19       Impact factor: 5.514

Review 3.  Small Drugs, Huge Impact: The Extraordinary Impact of Antisense Oligonucleotides in Research and Drug Development.

Authors:  Anais M Quemener; Maria Laura Centomo; Scott L Sax; Riccardo Panella
Journal:  Molecules       Date:  2022-01-15       Impact factor: 4.411

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.