IPR x WPI-PRIMe BioSim Talks #3
Sharing Insights in Computational Biology
| Date & Time | August 1, 2024 (Thu) 4.30 – 6.00 pm |
| Venue | Institute for Protein Research, Osaka U. (Suita Campus) 2nd-floor conference room |
| Speaker | Dr. Sandhya Tiwari (Osaka University IPR Associate Professor) |
| Title | How to use elastic network models to study protein flexibility |
| Registration | Not required |
| Online participation | Please refer to the green flyer for access information. |
Abstract: Understanding protein flexibility is crucial for comprehending biological functions. Elastic network models (ENMs) have emerged as powerful tools for studying the dynamic aspects of protein structures with computational efficiency and minimalistic assumptions. This talk will delve into the foundational principles of ENMs, highlighting their reliance on simplified physical models to predict the motions of proteins around their equilibrium positions. Moreover, the focus will shift to the application of ENMs in normal mode analysis and coarse-grained simulations. The results from ENM-based analyses have been used to interpret the intrinsic flexibility of protein structures, assess the impact of mutations on stability, understand allosteric signaling pathways, and characterize the conservation of dynamics across protein homologues and proteins with similar topologies.