| Title | EvoRSR: an integrated system for exploring evolution of RNA structural robustness |
| Authors | Shu, Wenjie Ni, Ming Bo, Xiaochen Zheng, Zhiqiang Wang, Shengqi |
| Affiliation | Beijing Inst Radiat Med, Beijing 100850, Peoples R China. Natl Univ Def Technol, Coll Electromech & Automat, Changsha 410073, Hunan, Peoples R China. Peking Univ, Ctr Bioinformat, Natl Lab Prot Engn & Plant Genet Engn, Coll Life Sci, Beijing 100871, Peoples R China. |
| Keywords | SILICO PREDICTED ROBUSTNESS SECONDARY STRUCTURES GENETIC ROBUSTNESS LANDSCAPES MUTATIONS MICRORNA DOMINANCE SEQUENCES |
| Issue Date | 2009 |
| Publisher | bmc bioinformatics |
| Citation | BMC BIOINFORMATICS.2009,10. |
| Abstract | Background: Robustness, maintaining a constant phenotype despite perturbations, is a fundamental property of biological systems that is incorporated at various levels of biological complexity. Although robustness has been frequently observed in nature, its evolutionary origin remains unknown. Current hypotheses suggest that robustness originated as a direct consequence of natural selection, as an intrinsic property of adaptations, or as a congruent correlate of environment robustness. To elucidate the evolutionary origins of robustness, a convenient computational package is strongly needed. Results: In this study, we developed the open-source integrated system EvoRSR (Evolution of RNA Structural Robustness) to explore the evolution of robustness based on biologically important landscapes induced by RNA folding. EvoRSR is object-oriented, modular, and freely available at http://biotech.bmi.ac.cn/EvoRSR under the GNU/GPL license. We present an overview of EvoRSR package and illustrate its features with the miRNA gene cel-mir-357. Conclusion: EvoRSR is a novel and flexible package for exploring the evolution of robustness. Accordingly, EvoRSR can be used for future studies to investigate the evolution and origin of robustness and to address other common questions about robustness. While the current EvoRSR environment is a versatile analysis framework, future versions can include features to enhance evolutionary studies of robustness. |
| URI | http://hdl.handle.net/20.500.11897/245936 |
| ISSN | 1471-2105 |
| DOI | 10.1186/1471-2105-10-249 |
| Indexed | SCI(E) |
| Appears in Collections: | 生命科学学院 蛋白质与植物基因研究国家重点实验室 |
