Detalle de: New generation of elastic network models
| Title | New generation of elastic network models |
| Abstract |
The intrinsic flexibility of proteins and nucleic acids can be grasped from remarkably simple mechanical models of particles connected by springs. In recent decades, Elastic Network Models (ENMs) combined with Normal Model Analysis widely confirmed their ability to predict biologically relevant motions of biomolecules and soon became a popular methodology to reveal large-scale dynamics in multiple structural biology scenarios. The simplicity, robustness, low computational cost, and relatively high accuracy are the reasons behind the success of ENMs. This review focuses on recent advances in the development and application of ENMs, paying particular attention to combinations with experimental data. Successful application scenarios include large macromolecular machines, structural refinement, docking, and evolutionary conservation. |
| Apa Reference | López-Blanco, J. R., & Chacón, P. (2016). New generation of elastic network models. Current Opinion in Structural Biology, 37, 46–53. 10.1016/j.sbi.2015.11.013 |
| Doi | 10.1016/j.sbi.2015.11.013 |
| Publication Date | Apr 2016 |
| Publication Type | Article |
| Researcher | Pablo Chacón |
| Ontology | Molecular flexibility, Conservation Analysis, Molecular Interactions/Docking |
| Research Groups | Structural Bioinformatics |
| Tools |