Molecular Dynamic Simulations: what can we learn about proteins using computers?
| dc.contributor.author | Osti, Anastasia | |
| dc.date.accessioned | 2018-03-27T19:25:24Z | |
| dc.date.available | 2018-03-27T19:25:24Z | |
| dc.date.created | 2016-10-21 | |
| dc.date.issued | 2018-03-27 | |
| dc.description.abstract | Computational power drastically improved in the last decade which allowed many laboratories today to use molecular simulations and apply them to biological systems. This approach assists answering questions that are hard or nearly impossible to get by using “wet” laboratory techniques. Often, when the certain protein is studied, it is studied by itself without the environment. However, soluble proteins are floating in the cytoplasm is much denser than water and contains many different proteins and other agents such as ions. The presence of other crowding agents and proteins can influence protein stabilization, assist in denaturation or even alter protein secondary structure and create a new more stable conformational state with lower minimal energy. My job was to test a new model for the laboratory and find the good protein candidates for the future research work. It was satisfying to see a real-life application of the knowledge that I already had from my classes. Moreover, I had to pick up some programming skills which I had limited exposure before last summer. During my training I liked to see my own growth in amount of independent work that I was able to do. My presentation focuses on the multidisciplinary research, and my experience as an undergraduate student in an academic laboratory. | |
| dc.description.panabstract | What do rats, fruit flies, vaginal mucosa, and molecular simulations have in common? They are all important tools for unraveling the secrets of human biology. This panel brings together five scientists who spent their summers working in research laboratories in various areas of life sciences such as molecular biology, neurobiology, and biochemistry. Members worked in a variety of settings including academia and clinical laboratories, and on unique research projects. Some of the panel members work was directly related to health, while others’ were in the nascent stages of research and were more indirectly linked to future advances in human welfare. Knowledge acquired from coursework laid the foundation for learning practical skills including computer modeling, animal behavioral assays, tissue dissection, western blots, and fluorescent imaging. This panel aims to provide an overview of careers in the life sciences and how every aspect of research can contribute to the common goal of improving human health. | |
| dc.identifier.uri | http://hdl.handle.net/10166/4591 | |
| dc.language.iso | en_US | |
| dc.rights.restricted | public | |
| dc.title | Molecular Dynamic Simulations: what can we learn about proteins using computers? | |
| dc.title.alternative | Working Towards a Common Goal: Long Term Applications of Scientific Research |