Ganguli Sayak, Mitra Sanga, Datta Abhijit
DBT-Centre for Bioinformatics, Presidency University, Kolkata - 700073.
Bioinformation. 2011;7(1):41-3. doi: 10.6026/97320630007041. Epub 2011 Aug 20.
The accurate prediction of a comprehensive set of messenger putative antagomirs against microRNAs (miRNAs) remains an open problem. In particular, a set of putative antagomirs against human miRNA is predicted in this current version of database. We have developed Antagomir database, based on putative antagomirs-miRNA heterodimers. In this work, the human miRNA dataset was used as template to design putative antagomirs, using GC content and secondary structures as parameters. The algorithm used predicted the free energy of unbound antagomirs. Although in its infancy the development of antagomirs, that can target cell specific genes or families of genes, may pave the way forward for the generation of a new class of therapeutics, to treat complex inflammatory diseases. Future versions need to incorporate further sequences from other mammalian homologues for designing of antagomirs for aid in research.
The database is available for free at http://bioinfopresidencycollegekolkata.edu.in/antagomirs.html.
准确预测针对一组完整信使核糖核酸的假定抗微小核糖核酸（miRNA）拮抗剂仍是一个悬而未决的问题。特别是，在当前版本的数据库中预测了一组针对人类miRNA的假定拮抗剂。我们基于假定的拮抗剂 - miRNA异二聚体开发了抗miRNA数据库。在这项工作中，以人类miRNA数据集为模板，以GC含量和二级结构为参数设计假定的拮抗剂。所使用的算法预测了未结合拮抗剂的自由能。尽管抗miRNA的开发尚处于起步阶段，但能够靶向细胞特异性基因或基因家族的抗miRNA可能为开发治疗复杂炎症性疾病的新型疗法铺平道路。未来版本需要纳入来自其他哺乳动物同源物的更多序列，以辅助设计用于研究的抗miRNA。
该数据库可在http://bioinfopresidencycollegekolkata.edu.in/antagomirs.html免费获取。
