IPR x WPI-PRIMe BioSim Talks #3
Sharing Insights in Computational Biology (計算生物学における洞察の共有)
日時 | 2024年8月1日(木)16:30開始 |
会場 | 大阪大学蛋白質研究所2階会議室(中)(吹田キャンパス) |
講演者 | Dr. Sandhya Tiwari (大阪大学蛋白質研究所准教授) |
講演タイトル | How to use elastic network models to study protein flexibility |
申込 | 事前のお申込みは不要です。 対面参加の場合:当日会場で用意されているQRコードからフォームにアクセスし、ご記入ください オンライン参加の場合:主催者に、参加する旨をお知らせください |
言語 | 英語 |
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.